View source for IS484 IS Project Experience (FinTech)

=== 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. <br>
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: ===

{| class="wikitable"
|-
! 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 <br>
https://docs.google.com/spreadsheets/d/1q-2qNkXGcjPxybU52s-1cazP5k4zhHTYRn7SKxz5Hjg/edit?gid=0#gid=0 <br>

=== Current Projects - FY2024/25 Term 2 ===

<table width="966" cellpadding="2" cellspacing="0" bgcolor="#f2f2f2" style="background: #f2f2f2; page-break-before: always">
	<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>
		</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">
			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>

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