Difference between revisions of "IS484 IS Project Experience (FinTech)"

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(Replaced content with "=== Course Description: === * This is an SMU-X course designed in collaboration with participating Banks, FinTechs, and other FIs, to serve as project sponsors. Collectiv...")
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https://docs.google.com/spreadsheets/d/1q-2qNkXGcjPxybU52s-1cazP5k4zhHTYRn7SKxz5Hjg/edit?gid=0#gid=0 <br>
 
https://docs.google.com/spreadsheets/d/1q-2qNkXGcjPxybU52s-1cazP5k4zhHTYRn7SKxz5Hjg/edit?gid=0#gid=0 <br>
  
=== Current Projects - FY2024/25 Term 2 ===
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=== Current Projects - FY2025/26 Term 1 ===
  
<table width="966" cellpadding="2" cellspacing="0" bgcolor="#f2f2f2" style="background: #f2f2f2; page-break-before: always">
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Pending project information from sponsors - to be advised...
<tr>
 
<td width="73" style="border: 1.00pt solid #000000; padding: 0.02in 0.08in"><p class="msonormal" align="center">
 
<b>ID, Term, and BA Status</b></p>
 
</td>
 
<td width="78" style="border-top: 1.00pt solid #000000; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0.02in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" align="center">
 
<b>Sponsor / Business Vertical</b></p>
 
</td>
 
<td width="322" style="border-top: 1.00pt solid #000000; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0.02in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" align="center">
 
<b>Project Description</b></p>
 
</td>
 
<td width="320" style="border-top: 1.00pt solid #000000; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0.02in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" align="center">
 
<b>Project Scope</b></p>
 
</td>
 
<td width="151" style="border-top: 1.00pt solid #000000; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0.02in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" align="center">
 
<b>Project Stakeholders</b></p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #1</p>
 
<p class="msonormal" align="center" style="margin-bottom: 0.2in">FY2024/25
 
<br/>
 
Term 2</p>
 
<p class="msonormal" align="center">Fulfills BA</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
OCBC - Consumer Banking</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<font color="#000000"><b>Fast Data Acquisition for Real-time
 
Analytics</b></font><font color="#000000"><br/>
 
Core Banking
 
processes a high volume of customer transactions including
 
transfers, deposits and payments in an RDBMS (say PostgreSQL).
 
There is a need to analyze the data real-time to detect any
 
anomalies and generate operational reports. The application
 
transaction database in optimized for high-availability and write
 
performance, not analytics.<br/>
 
<br/>
 
Therefore, there is a need
 
for a real-time ingestion framework to stream transaction data
 
from the source to the target operational data store (ODS), for
 
real-time analytics.<br/>
 
<br/>
 
Traditional batch ETL processes
 
result in delayed data availability, leading to slower
 
decision-making. Real-time analytics improves the customer
 
service, reduce fraud risk etc.</font></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The key
 
challenges that should be address are</p>
 
<p class="msonormal" style="margin-bottom: 0.2in"><font color="#000000"><b>Low
 
latency: </b></font><font color="#000000">Data needs to be
 
streamed in near real-time without impacting the performance of
 
the source transaction system.</font></p>
 
<p class="msonormal" style="margin-bottom: 0.2in"><font color="#000000"><b>Data
 
consistency:</b></font><font color="#000000"> The data arriving at
 
the ODS remains consistent with the source system, especially
 
during high transaction volumes.</font></p>
 
<p class="msonormal" style="margin-bottom: 0.2in"><font color="#000000"><b>Scalability:</b></font><font color="#000000">
 
The ingestion framework must scale to handle increasing
 
transaction volumes during peak hours, like flash sales or
 
promotions etc.</font></p>
 
<p class="msonormal"><font color="#000000"><b>High Availability:
 
</b></font><font color="#000000">The framework should tolerate
 
failures and be resilient with high-availability.&nbsp; </font>
 
</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:<br/>
 
Project sponsors will share sufficient
 
context so students can understand how/where this model brings
 
value to users.<br/>
 
<br/>
 
Project Deliverables:
 
</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A low latency real-time
 
ingestion framework using CDC and should support CRUD operations
 
to be consistent with the source database.</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analytics dashboard that
 
provides insights as</p>
 
<p class="msonormal" style="margin-left: 0.69in; margin-bottom: 0.2in; background: transparent">
 
•&nbsp;&nbsp;&nbsp;&nbsp; Customer activity and behaviour</p>
 
<p class="msonormal" style="margin-left: 0.69in; margin-bottom: 0.2in; background: transparent">
 
•&nbsp;&nbsp;&nbsp;&nbsp; Pending or failed payments</p>
 
<p class="msonormal" style="margin-left: 0.69in; margin-bottom: 0.2in; background: transparent">
 
•&nbsp;&nbsp;&nbsp;&nbsp; Total transaction volume per
 
minute/hour</p>
 
<p class="msonormal" style="background: transparent">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Documentation with detailed setup instructions for configuring the
 
ingestion with no-coding and just using configuration changes.</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Project Coordinator: Lim Wei Ming<br/>
 
Project Mentor:
 
Radhakrishna Sarma</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #2</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
OCBC - Front Office Relationship Managers</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Front Office Dashboard / Client meeting prep support</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The goal of this
 
project is to leverage GenAI Technologies to develop a dashboard
 
and client meeting preparation support system. The system will
 
gather relevant information such as to-do lists, insights that
 
clients would appreciate, follow-ups from previous meetings,
 
outstanding document deficiencies, and areas requiring client
 
feedback. All of this information will be consolidated into a
 
meeting preparation pack, making it easier for professionals to
 
prepare for client meetings efficiently.
 
</p>
 
<p class="msonormal">Front office staff often struggle to gather
 
and organize all the necessary information for client meetings.
 
This leads to inefficiencies and potential oversights. Therefore,
 
there is a need for a system that can streamline the process of
 
gathering, organizing, and presenting important information to
 
professionals before client meetings.
 
</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
share sufficient context so students can understand how/where this
 
UI brings value to users.</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Components required for
 
effective client meeting preparation, including to-do lists,
 
insights, follow-ups, document deficiencies, reviews, and client
 
feedback.</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Data or resources
 
necessary for testing, such as sample client meeting data, client
 
feedbacks, digital channel access data and relevant documents.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Dashboard: Create a
 
user-friendly dashboard that allows Front office to input and
 
access information for client meeting preparation.</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; AI Integration: Utilize
 
GenAI Technologies to enhance the system's capabilities, such as
 
natural language processing for analyzing meeting notes and
 
predictive analytics for generating insights.</p>
 
<p class="msonormal" style="margin-left: 0.24in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Data Analysis: Implement
 
AI models to analyze data inputs and generate valuable insights,
 
such as identifying patterns in client feedback or predicting
 
potential document deficiencies.</p>
 
<p class="msonormal">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Meeting Preparation Pack: Consolidate all relevant information,
 
including to-do lists, insights, follow-ups, document
 
deficiencies, reviews, and areas requiring client feedback, into a
 
comprehensive meeting preparation pack.</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: Bryan Lee Cheng Hui</p>
 
<p class="msonormal">Project Mentor: Amila Silva</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #3</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
OCBC - Group Operations &amp; Technology</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
This project aims to explore the concept of Zero-Knowledge
 
Rollups, an innovative technology that addresses two significant
 
challenges in blockchain transactions: privacy and efficiency. In
 
simpler terms, Zero-Knowledge Rollups are like a secret code that
 
allows you to do more things securely and quickly without anyone
 
else knowing the details.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">In the world of
 
digital currencies and blockchain, it's crucial to ensure that
 
transactions are both private and efficient. Zero-Knowledge
 
Rollups offer a promising solution by bundling many transactions
 
together and proving they are valid without revealing specific
 
details about each individual transaction.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">This approach
 
enables blockchain networks to handle a large number of
 
transactions at once, making them faster and more scalable. This
 
also prove that transactions are valid without exposing the
 
specifics. As a practical demonstration, we are able to develop
 
blockchain applications such as:</p>
 
<p class="msonormal" style="margin-left: 0.3in; margin-bottom: 0.2in">
 
1.&nbsp;&nbsp;&nbsp; Enhancing Privacy and Scalability in
 
Blockchain Transactions using Zero-Knowledge Rollups</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">There is a need
 
for an improved solution to address the privacy and scalability
 
challenges facing blockchain transactions. Traditional blockchain
 
systems, such as those used in cryptocurrencies, often struggle to
 
handle a high volume of transactions while simultaneously ensuring
 
the privacy of participants.</p>
 
<p class="msonormal">Existing blockchain architectures suffer from
 
limited scalability, resulting in congestion and increased
 
transaction delay during peak usage periods. Moreover, transaction
 
details are often visible to malicious actors, compromising user
 
privacy and confidentiality.
 
</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.23in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
share sufficient context so students can understand its use cases,
 
discussing the benefits and limitations of implementing zero
 
knowledge rollups and how it can benefit end users.</p>
 
<p class="msonormal" style="margin-left: 0.23in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The project details,
 
explanation of the zero knowledge rollups and other useful details
 
will be shared.</p>
 
<p class="msonormal" style="margin-left: 0.02in; margin-bottom: 0.2in">
 
Project Deliverables:
 
</p>
 
<p class="msonormal" style="margin-left: 0.23in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Students will dive into
 
the technical aspects of Zero-Knowledge proofs, learn about the
 
challenges of implementing Rollup solutions, and examine
 
real-world examples where this technology has been used
 
successfully
 
</p>
 
<p class="msonormal" style="margin-left: 0.23in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Investigate where zero
 
knowledge rollups can be applied in banking environment. Students
 
will study relevant academic resources, examine existing
 
Zero-Knowledge Rollup implementations</p>
 
<p class="msonormal" style="margin-left: 0.23in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Create simulations or
 
proof-of-concept prototypes to explore the practical aspects</p>
 
<p class="msonormal">&nbsp;</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: Ravindra Kumar</p>
 
<p class="msonormal">Project Mentor: Jorden Seet</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #4</p>
 
<p class="msonormal" align="center" style="margin-bottom: 0.2in">FY2024/25
 
<br/>
 
Term 2</p>
 
<p class="msonormal" align="center">Fulfills BA</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Citi - Exchange Traded &amp; Cleared Derivatives</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Collateral Optimization for CCP Margin Calls</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Citi provides
 
its clients with clearing services on several global Central
 
Counterparty Clearing Houses (CCPs). Clients can post eligible
 
currency (cash) &amp; financial instruments (bonds, treasury
 
notes, securities, commodity warrants, etc.) as collateral to
 
cover margin calls. Citi, as a clearing member, will then utilize
 
some of these assets to cover the corresponding margin calls with
 
the CCP.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Each CCP has
 
specific requirements regarding the types of collateral it
 
accepts, applying different haircuts and collateral fees based on
 
asset class. Additionally, transaction costs are incurred when
 
depositing, substituting or withdrawing collateral. Optimizing the
 
allocation of available collateral across different CCPs can
 
minimize costs and increase efficiency.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">This project
 
aims to develop an algorithm that optimizes the allocation of
 
available collateral to various CCPs based on eligibility,
 
collateral costs, haircuts, and transaction costs, taking into
 
account frequent changes in available collateral due to client
 
activity.</p>
 
<p class="msonormal">Citi’s clearing services require optimal
 
collateral allocation to different CCPs in order to minimize costs
 
and comply with eligibility requirements. The current process
 
involves multiple variables such as collateral eligibility,
 
haircut rates, collateral fees, and transaction costs. The
 
objective of this project is to build a solution that optimizes
 
collateral allocation for margin calls at each CCP while
 
minimizing associated costs and fees.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Students will be
 
provided with:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">1. A file
 
containing a list of available collateral.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">2. A file that
 
lists the margin calls required at each CCP.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">3. A file
 
containing static data regarding eligible</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">associated
 
haircut rates, fees, and transaction costs at different CCPs.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">All required
 
data is in public domain. No Citi proprietary data is required nor
 
will be shared for this project.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">1. Optimization
 
Algorithm: A solution to optimize the allocation of available
 
collateral across multiple CCPs based on eligibility, costs, and
 
transaction considerations.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">2. User
 
Interface: A basic user interface to input data and visualize the
 
optimized collateral allocation across CCPs.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">3. Collateral
 
Movement Report: A user report that lists the optimal collateral
 
allocation and the related asset movements.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">4.
 
Documentation: Detailed documentation explaining the methodology,
 
logic behind the optimization algorithm, and any assumptions made.</p>
 
<p class="msonormal">5. Presentation: A final presentation
 
demonstrating the optimization tool, its functionality, and
 
potential real-world applications for Citi's operations.</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: TBA</p>
 
<p class="msonormal">Project Mentor: Nirav Parikh</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #5</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Citi - Markets &amp; Trading</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Synthetic Market Generator for Algorithmic Trading</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">One of the key
 
challenges in training trading algorithms is the limited
 
availability of real-world historical data specific to certain
 
securities. This scarcity of data can lead to overfitting and
 
suboptimal performance in machine learning models. Moreover, it is
 
difficult to find data that accurately reflects specific market
 
conditions, including varying volumes, trends, and volatility
 
levels.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">This project
 
aims to address these challenges by developing a synthetic market
 
simulator capable of generating market data tailored to specific
 
securities and market conditions. The simulator will be
 
parameterized to model various patterns, volatility levels, and
 
market trends, providing a flexible tool for creating synthetic
 
datasets. These datasets can then be used for training and testing
 
algorithmic trading strategies, avoiding the pitfalls of limited
 
real-world data.</p>
 
<p class="msonormal">Current trading models face the challenge of
 
limited historical data for specific securities and market
 
conditions. This project seeks to build a synthetic market data
 
simulator that allows traders and researchers to generate
 
customized market data based on chosen parameters such as
 
volatility, trend strength, and volume. This will provide a larger
 
and more diverse dataset to train trading algorithms, leading to
 
better generalization and performance in various market
 
environments.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Students will be
 
provided with:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">1. A
 
representative set of market data for a given security (historical
 
OHLCV data).</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">2. Parameters to
 
tune the synthetic data generation, including market patterns,
 
volatility, trends, and volume.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">All required
 
data is in public domain. No Citi proprietary data is required nor
 
will be shared for this project.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">1. Synthetic
 
Data Generator: A working model that simulates and outputs
 
synthetic market data based on input parameters.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">2.
 
Parameterization: A set of controls to modify the synthetic data
 
generation, including trend types, volatility levels, and other
 
key market conditions.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">3. Transaction
 
Output: The output will be a file containing the generated market
 
data, with fields such as Open, High, Low, Close, and Volume
 
(OHLCV).</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">4.
 
Documentation: Detailed documentation explaining how the synthetic
 
data is generated, how to use the parameterization tools, and how
 
the simulator can be applied in algorithm training.</p>
 
<p class="msonormal">5. Presentation: A demonstration of the
 
synthetic market simulator, including use cases for improving
 
trading algorithm performance.</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: TBA</p>
 
<p class="msonormal">Project Mentor: Nirav Parikh</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #6</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Citi - &nbsp;Investment Banking</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Deal Review Committee Using LLM Agents</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">In investment
 
banking, evaluating deals for new clients involves multiple
 
dimensions of analysis. Banks must assess the market potential,
 
competitive positioning, and risk profile of a client’s
 
business, while estimating revenue and cost projections.
 
Additionally, ensuring compliance with regulatory standards and
 
aligning deals with the bank’s strategic objectives are crucial
 
aspects of decision-making.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">This project
 
proposes the development of a framework utilizing Large Language
 
Model (LLM) agents to simulate a virtual committee of financial
 
experts. Each LLM agent will be specialized in specific areas such
 
as risk assessment (credit, market, operational, regulatory,
 
reputational), revenue estimation, compliance, and strategic
 
alignment. By simulating the expertise of real-world financial
 
analysts and risk managers, this system will provide a
 
comprehensive review of deal proposals for new clients.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The goal is to
 
enhance decision-making, mitigate risks, ensure regulatory
 
compliance, and foster profitable client relationships, helping
 
banks balance opportunity with risk for long-term sustainability
 
and growth.</p>
 
<p class="msonormal">Investment banks face challenges in
 
evaluating deal proposals due to the need for multi-faceted
 
analysis across revenue potential, risk assessment, regulatory
 
compliance, and strategic fit. This project aims to develop a
 
framework leveraging LLM agents to provide a holistic and
 
expert-driven approach to deal review, improving both the
 
efficiency and accuracy of decision- making processes.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Students will be
 
provided with:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">1. Training data
 
from previous deal reviews, including analysis from financial
 
analysts and risk managers.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">2. Access to
 
relevant market data, risk factors, and financial models.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">3. Strategic
 
guidelines and risk appetite documentation for new deals.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Note: Anonymized
 
Citi internal data (no client data) will be required for this
 
project subject to approvals and potential NDA agreements.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">1. LLM-Based
 
Expert Agents: A framework of specialized LLM agents trained to
 
simulate expert perspectives in areas such as revenue estimation,
 
risk analysis, compliance, and strategic alignment.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">2. Virtual
 
Committee Decision Process: A mechanism for synthesizing the
 
insights from different agents to form a comprehensive
 
recommendation on deal approval and conditions.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">3. Decision
 
Support System: A tool that provides deal recommendations,
 
approval conditions, and risk mitigation strategies based on the
 
committee’s output.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">4.
 
Documentation: Comprehensive documentation outlining the design,
 
methodology, and decision-making process of the virtual committee
 
of LLM agents.</p>
 
<p class="msonormal">5. Presentation: A final presentation
 
showcasing the framework, its decision-making process, and its
 
potential impact on the bank's deal review process.</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: TBA</p>
 
<p class="msonormal">Project Mentor: Nirav Parikh</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #7</p>
 
<p class="msonormal" align="center">FY2024/25<br/>
 
Term 2</p>
 
<p class="msonormal" align="center">Fulfills BA</p>
 
  
</td>
+
=== Archived Past Projects and Groups ===
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Revolut - Digital Investing</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Bespoke Robo Advisory Platform for Retail Users</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Create a digital
 
investment platform that allows users to invest into through
 
Revolut’s Robo-advisory solution coupled with the Users own
 
inputs relating to Risk Appetite, preferred asset class mix,
 
single name stocks and investment amount.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The ask is to
 
create a web app that:</p>
 
<p class="msonormal" style="margin-left: 0.3in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Allows users to include
 
more inputs before letting Robo advisory take over the investment
 
of users funds.
 
</p>
 
<p class="msonormal" style="margin-left: 0.3in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; List of investment
 
instruments and asset classes available
 
</p>
 
<p class="msonormal" style="margin-left: 0.3in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Visualize the performance
 
data using charts, tables etc. in a simple, uncluttered fashion.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Robo-advisory is
 
a useful solution / tool for beginning and intermediate investors
 
who wise to utilize ”Robos” to optimize users funds and invest
 
accordingly based on black box algorithms built by the Robo
 
Advisory company.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The Problem is
 
that users have little or no say in which specific asset class,
 
industries, or single name stocks should the investor have a
 
preference in whilst offering the investor expertise of the Robo
 
Advisory perform dynamic asset re-allocation as and when the need
 
to do arises.
 
</p>
 
<p class="msonormal">So the idea is to create a platform which is
 
a hybrid of a Robo-Advisor and a full manual trading platform</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
share sufficient context so students can understand how/where this
 
platform brings value to users.</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The mock raw data files,
 
explanation of this data structure and other useful details will
 
be available.</p>
 
<p class="msonormal" style="margin-left: 0.02in; margin-bottom: 0.2in">
 
Project Deliverables:
 
</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Working App that provides
 
intuitive UI/UX.
 
</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; This App should be a
 
standalone application that can be easily incorporated in a larger
 
application. Freedom to use visualization &amp; analysis tools,
 
technology of the team’s choice.</p>
 
<p class="msonormal">&nbsp;</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: [ TBA ]
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">&nbsp;</p>
 
<p class="msonormal">Project Mentor: Abhinav Suryavanshi</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #8 FY2024/25 <br/>
 
Term 2</p>
 
<p class="msonormal" align="center">Fulfills BA</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Singapura Finance -Regulatory Compliance</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Customer Profiling Application</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Customers are
 
on-boarded to the bank’s system after performing checks and
 
validation for know your customer and anti-money laundering
 
(KYC/AML) compliance.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The solution
 
should extract information about existing customers, run checks
 
and document results. It will score each customer based on given
 
parameters. The parameters may change over time, so flexibility to
 
adjust the parameter will be required.</p>
 
<p class="msonormal">The current approach to handling AML scoring
 
and documenting of customer profile is manually done by staff. It
 
is not consistent and prone to oversight and missing filed
 
information.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
share context so students can understand how/where this
 
digitalization can add value to the organization.</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The mock up data and
 
parameter for scoring will be shared with explanation on the
 
digital filing requirements.</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Potential to use
 
ML Tools to profile customer</span></font></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">A solution or
 
program which can accomplish the following:</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Take in a customer
 
information from the banking system</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Profile the customer
 
information using available search/information engine/service
 
provider. Obtain the results</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Provide data visualization
 
of the results obtained</p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Score each
 
customer&nbsp; profile</span></font></p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Store the results
 
for historical review or audit review requirement.</span></font></p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Allow
 
customization of the scoring</span></font></p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </font><font color="#000000"><span lang="en-SG">Easy
 
search and identification of customer profile documents collated.</span></font></p>
 
<p class="msonormal"><font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Allow for
 
triggering of review on customer information based on score</span></font></p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: (TBA)</p>
 
<p class="msonormal">Project Mentor: Winny Ho</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #9</p>
 
<p class="msonormal" align="center" style="margin-bottom: 0.2in">FY2024/25
 
<br/>
 
Term 2</p>
 
<p class="msonormal" align="center">Fulfills BA</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Singapura Finance - Risk Management</p>
 
<p class="msonormal">&nbsp;</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Consumer Loans Credit Scoring</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The bank
 
implemented an online straight through loan application (Mortgage)
 
using government provided information, with customers consent.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The system does
 
not identify nor prioritize customer profile, hence good/great
 
customers are left together with the majority.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Solution will
 
use information obtained by the government data source and
 
generate a credit score each application. An application may have
 
more than one submission (Multiple owners).</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The solution
 
should provide automated recommendation for improved loan rates
 
for of better scoring customers. It should also document and
 
recommend follow-up for lower scoring applications.</p>
 
<p class="msonormal">&nbsp;</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
share context so students can understand how/where this
 
digitalization can add value to the organization.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The mock up data and
 
parameter for scoring will be shared with explanation on the
 
digital filing requirements.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">An app that
 
provides the following:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Take in a customer
 
information submitted via online forms/government data.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Profile the customer
 
information</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze the results
 
obtained and score each application</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Allow
 
customization of the scoring using various data points available.</span></font></p>
 
<p class="msonormal" style="margin-left: 0.27in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</font>Provide
 
data visualization of the results obtained</p>
 
<p class="msonormal"><font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Results will be
 
sent to back-room for processing or automated escalated actions.</span></font></p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: (TBA)</p>
 
<p class="msonormal">Project Mentor: Cindy Ng</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #10</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Tiger Fund - Fund Management</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Using Artificial Intelligence for Effective Stock Screening</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">This project
 
focuses on using artificial intelligence (AI) to develop an
 
effective stock screening tool that assists investors in
 
identifying potential buying or selling opportunities in the U.S.
 
stock market.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">With the vast
 
amount of data generated daily, AI can automate the screening
 
process by quickly analyzing stock trends, sector performance, and
 
user-defined parameters to detect valuable market opportunities.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The system will
 
leverage machine learning algorithms and technical indicators to
 
filter stocks based on investor preferences, such as
 
undervaluation, technical patterns, or strong market trends.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The goal is to
 
streamline stock selection and improve decision-making efficiency
 
for portfolio managers.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Investors face a
 
challenge in sorting through the immense quantity of stock market
 
data to identify opportunities for profitable trading. The manual
 
stock screening process is time-consuming and prone to human
 
error, especially when considering various technical indicators
 
and market conditions.
 
</p>
 
<p class="msonormal">This project aims to address these issues by
 
developing an AI-powered stock screening system capable of
 
efficiently analyzing stock data, detecting strong market trends,
 
and automating the identification of potential buying or selling
 
opportunities based on predefined criteria.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
&nbsp;Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
share sufficient context so students can understand how/where this
 
project brings value to users.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; AI-Powered Stock Screener
 
Application: A functional application that can analyze large
 
datasets and apply user-defined parameters to screen stocks.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Backtesting: To engage in
 
backtesting of the model in order to ensure the reliability of the
 
system</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Market Trend Detection
 
Module: A feature that detects strong market trends or significant
 
changes in sector performance.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sector Analysis Tool: A
 
tool to conduct in-depth analysis of sectors to identify potential
 
opportunities for buying recommendations.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Sentiment Analysis
 
Engine: </span></font><font color="#000000">A system that scrapes
 
and analyzes sentiment data from news articles, social media, and
 
financial reports, and integrates it into the model.</font></p>
 
<p class="msonormal">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; User
 
Interface for Stock Screening: An interactive interface where
 
users can input their screening criteria and view stock
 
recommendations in real-time.</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: [TBA]</p>
 
<p class="msonormal">Project Mentor: [TBA]</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #11</p>
 
<p class="msonormal" align="center" style="margin-bottom: 0.2in">FY2024/25
 
<br/>
 
Term 2</p>
 
<p class="msonormal" align="center">Fulfills BA</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Tiger Fund - Fund Management</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Using Artificial Intelligence to Time the Market</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The project aims
 
to build a machine learning-based system that assists portfolio
 
managers with accurate market timing by predicting the prices of
 
major Exchange-Traded Funds (ETFs) such as SPY (S&amp;P 500 ETF)
 
and TLT (Treasury Bond ETF).
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The core
 
component of this system will be an AI model, potentially using a
 
Long Short-Term Memory (LSTM) neural network, which will predict
 
future prices based on a blend of economic, fundamental,
 
sentiment, and technical data.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The model will
 
be designed to continuously learn and adapt to evolving financial
 
environments, making real-time predictions.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The data inputs
 
will be aggregated from reliable financial sources like FRED,
 
World Bank, Yahoo Finance, and sentiment analysis from news
 
outlets, social media, and financial reports to develop a
 
comprehensive model.
 
</p>
 
<p class="msonormal">Accurate market timing is one of the most
 
challenging tasks for portfolio managers. Market prices fluctuate
 
based on a wide range of factors, including economic indicators,
 
fundamental analysis, market sentiment, and technical trends.
 
Traditional financial models often fail to capture the complexity
 
and rapid changes in market dynamics. This project seeks to bridge
 
the gap by leveraging machine learning to forecast ETF prices more
 
accurately and continuously adapt to changing market conditions.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
share sufficient context so students can understand how/where this
 
project brings value to users.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </font><font color="#000000"><span lang="en-SG">AI
 
Prediction Model: </span></font><font color="#000000">A machine
 
learning model trained to predict the prices of SPY and TLT based
 
on technical, economic, fundamental, and sentiment data. An AI
 
system capable of retraining itself as new data becomes available,
 
allowing for adaptation to market changes.</font></p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Backtesting: To engage in
 
backtesting of the model in order to ensure the reliability of the
 
system</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Sentiment Analysis
 
Engine: </span></font><font color="#000000">A system that scrapes
 
and analyzes sentiment data from news articles, social media, and
 
financial reports, and integrates it into the model.</font></p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
<font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </font><font color="#000000"><span lang="en-SG">Risk
 
Appetite Indicator: </span></font><font color="#000000">A
 
composite indicator driven by sentiment analysis, measuring market
 
risk aversion or appetite to inform predictions.</font></p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Data Pipeline: Web
 
scraping and integration pipeline to pull continuous data from
 
FRED, World Bank, Yahoo Finance, and other relevant sources.</p>
 
<p class="msonormal"><font color="#000000">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
</font><font color="#000000"><span lang="en-SG">Dashboard
 
Interface: </span></font><font color="#000000">A user-friendly
 
dashboard to display model predictions, risk appetite indicators,
 
and relevant metrics.</font></p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: [TBA]</p>
 
<p class="msonormal">Project Mentor: [TBA]</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #12</p>
 
<p class="msonormal" align="center" style="margin-bottom: 0.2in">FY2024/25
 
<br/>
 
Term 2</p>
 
<p class="msonormal" align="center">Fulfills BA</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
UBS - &nbsp;Equities</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>News Screener For Relevant Investment Opportunities</b></p>
 
<p class="msonormal" style="margin-bottom: 0.17in">Bankers and
 
Investment counselors (ICs) develop deep relationships with
 
clients and provide them with relevant investment and
 
opportunities advices based on client’s needs.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The ask is to
 
create a tool that:<br/>
 
Scans publicly available social media and
 
news sources for news about relevant sector’s or region’s
 
current and ongoing events and their co-related relevant companies
 
or entities.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Summarize these
 
views to a digestible format for Client Advisor, Ensure each data
 
point has a source link, that would enable the Client Advisor to
 
verify that the subject is indeed relevant to preferences of their
 
client.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Freedom to use
 
visualization &amp; analysis tools, generative AI, APIs and
 
technology of the team’s choice. However the solution should be
 
hosted in an Azure Cloud.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Example: Tools
 
scans news from the ‘Financial Times’ for relevant sector
 
‘Real Estate’ and region ‘China’, Based on the news
 
coverage, it identifies the current market trend and effected
 
companies and instruments relevant to those companies and provides
 
a relevant view to client advisors.</p>
 
<p class="msonormal">Given current volatile world and lots of
 
information being generated every moment, analysts require smart
 
intelligent tools to sort through all those and provide clients
 
with relevant investment advices on timely manner. The tool is to
 
automated way to scan news, provide digest about the news in
 
categories like sector, region and entity. Also to provide
 
relevant&nbsp; sentiment of the news.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project sponsors will
 
provide 5 entity names, and suggested data sources on which the
 
output should be created</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Project Sponsors will
 
review at regular intervals the outputs to refine requirements and
 
usability of output.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; We will provide support on
 
how to perform identity matching for the entities.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Team can use AI tools to
 
discover digest of news (e.g. news is about ‘Real Estate’
 
sector.)</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Working dashboard that
 
provides a real view of relevant sectors and entities.
 
</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; View provides contextual
 
correlated sentiment assessment of entities.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; View provides trigger
 
notifications when significant activity threshold is breached
 
(optional).</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; View provides collected
 
historical information and perform system end to end risk and
 
returns on entities.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to collect data
 
from different sources.</p>
 
<p class="msonormal">&nbsp;</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: Kumar, Ajith-A
 
</p>
 
<p class="msonormal">Project Mentor: Hossain, Mohammad-Jahangir
 
</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #13</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
UBS - &nbsp;Mobile banking</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Modern web application and Native Mobile application for
 
Portfolio viewing of a banking customer</b></p>
 
<p class="msonormal" style="margin-bottom: 0.17in">There are
 
already a quite a lot of Banking asset viewing and portfolio
 
viewing apps in the market currently. Having a great user
 
experience for such apps are key for success of any business. User
 
experience is garnered from Customer experience strategy, research
 
and design. Understanding user behavior and human computer
 
interaction techniques are key in designing and implementing next
 
gen user experience application is key.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">In this project
 
you will produce native iOS/Android mobile application and web
 
application using latest technology which inculcates great
 
customer experience design , user experience design and
 
wireframes. There are already great deal of research materials on
 
this subject, so need a both balanced academic view and already
 
existing app view to come out with a great application to do
 
portfolio viewing of a Banking clients assets. The backend may
 
have mock data to begin with so not really expecting the app to
 
work end to end. Key success criteria are to have a great visual
 
and customer experience for these apps.</p>
 
<p class="msonormal">This project aims to develop a banking
 
portfolio viewing application which targets the upcoming
 
generation of banking application consumers, ie. Gen Z and
 
Millennials. Additionally, we will enhance the user experience of
 
our application by implementing specific design considerations
 
obtained through rigorous user research and analysis of
 
human-computer interactions.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Technology services mentor
 
will provide insights on deep knowledge on the subject
 
</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Help students to formulate
 
the solution ideation
 
</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Provide the expertise
 
where necessary for the group to produce a industry standard
 
solution</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Must Have:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Working Mobile application
 
for asset viewing targeted at Gen-Z age group</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design and develop a
 
prototype which has a high customer experience design and HCI.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Nice To Have:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Fully working backend is
 
not a requirement. Application can have a static data to power the
 
application.
 
</p>
 
<p class="msonormal">&nbsp;</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
Project Coordinator: Kumar, Ajith-A Project Mentors: Sanghavi,
 
Seema</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #14</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
UBS - &nbsp;Regulatory Compliance</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>FinRegScanner</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Banks have to
 
adhere to multiple market and exchange related financial
 
regulations. The compliance function has to be vigilant in
 
identifying the regulations that are published by various
 
countries, regions and by industry bodies and implement them on
 
time. If a bank is not regulatory compliant, that could lead to
 
various repercussions from financial penalties, reputational
 
impact to even posing a risk to the financial system as a whole.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Once a
 
regulation is identified, few companies look out for vendor
 
solutions and few companies build solutions in-house and this
 
often requires a lot of coordination among various functions/teams
 
to ensure that the regulation gets adhered to on time.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Hence, it would
 
great if technology can help to assist and simplify the regulatory
 
project management and implementation.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Right from
 
identification of a financial regulation that the bank needs to
 
adhere to, till the implementation, is very complex to manage,
 
time intensive and costly affair.</p>
 
<p class="msonormal">Build a solution that can act as an assistive
 
tool to Compliance function of an organization to help detect,
 
plan and manage regulatory impacts in a timely manner within the
 
organization.</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Project Sponsors will provide information about regulatory data
 
sources and will also give a brief overview of Financial
 
Regulatory Landscape and relevant support wherever required</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Project Sponsors will review the output at regular intervals to
 
provide feedback and to refine requirements</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Must Have:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
1)&nbsp;&nbsp;&nbsp; Identify upcoming regs and their regulatory
 
deadline</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
2)&nbsp;&nbsp;&nbsp; Summarize the requirements for each impacted
 
business division and able to query the regulatory text and get
 
answers</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
3)&nbsp;&nbsp;&nbsp; Apply a chatbot feature to query the QnA</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
4)&nbsp;&nbsp;&nbsp; Provide a dashboard to visualize the key
 
features of the regulations.
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Nice To Have:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
1)&nbsp;&nbsp;&nbsp; Build a machine learning model to classify
 
the regulation, identify the potential impacts for each business
 
division</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
2)&nbsp;&nbsp;&nbsp; Provide a comparison with other regulations
 
of similar nature</p>
 
<p class="msonormal">&nbsp;</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: Kumar, Ajith-A
 
</p>
 
<p class="msonormal">Project Mentors: Kumar, Phanindra; Kumar,
 
Ajith-A</p>
 
</td>
 
</tr>
 
<tr valign="top">
 
<td width="73" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: 1.00pt solid #000000; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0.08in; padding-right: 0.08in"><p class="msonormal" align="center" style="margin-bottom: 0.2in">
 
Project #15</p>
 
<p class="msonormal" align="center">FY2024/25 <br/>
 
Term 2</p>
 
</td>
 
<td width="78" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal">
 
UBS - &nbsp;Wealth Management</p>
 
</td>
 
<td width="322" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
<b>Gamified Financial Literacy Application</b></p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Financial
 
Literacy is essential in wealth management as it enables
 
individuals to make informed decisions about growing, protecting
 
and preserving their assets.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">The ask is to
 
create a gamified financial literacy app that teaches essential
 
money management skills through interactive challenges, quizzes,
 
activities, simulations and make financial education engaging and
 
fun for all ages. Users earn badges and unlock new levels as they
 
progress through next stages in their learning paths consisting of
 
topics ranging from time value of money, insurance, emergency
 
fund, asset allocation, budgeting, saving, investing etc.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Financial
 
Literacy is essential in wealth management as it enables
 
individuals to make informed decisions about growing, protecting
 
and preserving their assets.</p>
 
<p class="msonormal">The ask is to create a gamified financial
 
literacy app that teaches essential money management skills
 
through interactive challenges, quizzes, activities, simulations
 
and make financial education engaging and fun for all ages. Users
 
earn badges and unlock new levels as they progress through next
 
stages in their learning paths consisting of topics ranging from
 
time value of money, insurance, emergency fund, asset allocation,
 
budgeting, saving, investing etc.
 
</p>
 
</td>
 
<td width="320" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Inputs:</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Project sponsors will share sufficient information regarding the
 
various aspects of personal finance</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Mentors will guide the students on building learning paths and
 
scenario simulations</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Mentors will review&nbsp;the progress at regular intervals to
 
refine requirements and usability of the app.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Project
 
Deliverables:
 
</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Must Have:</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Fully functional
 
responsive / mobile native application with at least 2-3 financial
 
literacy learning paths.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellent user experience
 
with security features implemented.</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Real time analytics to
 
track progress with personalized insights and badges</p>
 
<p class="msonormal" style="margin-left: 0.25in; margin-bottom: 0.2in">
 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Admin dashboard showing
 
the learning progress, and the badges earned by all the users.</p>
 
<p class="msonormal" style="margin-bottom: 0.2in">Nice To Have:</p>
 
<p class="msonormal">•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
Integration with ChatGPT or other LLMs for personal finance
 
scenario simulations</p>
 
</td>
 
<td width="151" style="border-top: none; border-bottom: 1.00pt solid #000000; border-left: none; border-right: 1.00pt solid #000000; padding-top: 0in; padding-bottom: 0.02in; padding-left: 0in; padding-right: 0.08in"><p class="msonormal" style="margin-bottom: 0.2in">
 
Project Coordinator: Kumar, Ajith-A
 
</p>
 
<p class="msonormal">Project Mentors: Gopalan Ramakrishnan</p>
 
</td>
 
</tr>
 
</table>
 
  
=== Archived Past Projects and Groups ===
 
AY2024/25 Term 1 <br>
 
 
https://docs.google.com/spreadsheets/d/1IDAhC4JiK3RuKnIDQMG5UjJ6I1IiImo81Lu13wAuUxE/edit#gid=491663198 <br>
 
https://docs.google.com/spreadsheets/d/1IDAhC4JiK3RuKnIDQMG5UjJ6I1IiImo81Lu13wAuUxE/edit#gid=491663198 <br>
  
 
Past Project Descriptions<br>
 
Past Project Descriptions<br>
 
https://docs.google.com/spreadsheets/d/1f7r2y1n6USWAYVTVyWkZkYxJt7HCoxlc-z3jAGzX7LQ/edit?gid=0#gid=0
 
https://docs.google.com/spreadsheets/d/1f7r2y1n6USWAYVTVyWkZkYxJt7HCoxlc-z3jAGzX7LQ/edit?gid=0#gid=0

Revision as of 11:33, 27 January 2025

Course Description:

  • This is an SMU-X course designed in collaboration with participating Banks, FinTechs, and other FIs, to serve as project sponsors. Collectively, industry sponsors will supply a minimum of 5 projects ideas to select from.
  • Students will form teams of 5 or 6, and select one the project ideas to work on. Project selections do not need to be unique, meaning multiple teams can select the same project idea.
  • Each student project team will be assigned to a sponsor/mentor and an SMU faculty supervisor.
  • Sponsors will provide project scope and management for student teams to have practical industry learning experiences.
  • Student teams will have weekly check in meetings, either virtually or physically, with their sponsor.
  • Sponsors will specify the technologies to be used, including; development tools/languages, OS, database, 3rd party libraries, target deployment environment e.g. cloud environment.
  • Student project teams will be expected to develop a working software application prototype, to be delivered to the sponsor at the end of the course.

Course Prerequisites:

1. Software Project Management (IS212) is a pre-requisite or a co-requisite.
2. Any two (2) track courses from the track that you are declaring for your project. One of these courses can be a co-requisite.

Project Timeline:

Activities Timeline Term 1/ Term 2 Action By
Project Sourcing and Registration Week -14 to Week -10 Form teams. Review the below set of predefined projects provided by Citibank, OCBC, NETS, UBS, and others. Fill up the Project Team Signup Sheet at the below link, listing your preferred projects. FT Track Coordinator will finalize the matching of teams to projects. Students
Project Matching Week -10 FT Track Coordinator will finalize the matching of teams to projects. FT Track Coordinator
Proposal Due before the start of Week -8 Submit your project proposals to your Track Coordinator(s). For mixed-track teams, both track coordinators need to review your proposal. Students
Decision on Proposal Week -4 Your Track Coordinator(s) will confirm that the project has sufficient scope to fulfill your respective track requirements for IS Project Experience. Track Coordinator, Students, (Optional: Sponsor)
Start of Project Week 1 Supervisor - Teams Student
Midterm Week 8 Presentation Students, Supervisor, Reviewer (Optional: Sponsor, Track Coordinator)
Finals Week 14 to Week 16 Presentation Students, Supervisor, Reviewer (Optional: Sponsor, Track Coordinator)

Project Team Signup Sheet:

AY2024/25 Term 2
https://docs.google.com/spreadsheets/d/1q-2qNkXGcjPxybU52s-1cazP5k4zhHTYRn7SKxz5Hjg/edit?gid=0#gid=0

Current Projects - FY2025/26 Term 1

Pending project information from sponsors - to be advised...

Archived Past Projects and Groups

https://docs.google.com/spreadsheets/d/1IDAhC4JiK3RuKnIDQMG5UjJ6I1IiImo81Lu13wAuUxE/edit#gid=491663198

Past Project Descriptions
https://docs.google.com/spreadsheets/d/1f7r2y1n6USWAYVTVyWkZkYxJt7HCoxlc-z3jAGzX7LQ/edit?gid=0#gid=0