IS484 Project Wiki AY2020/21 Term 1

Team Name / Wiki Link	Team Members	Project Description
Placeholder	Zoe WANG Zi Hui Zoe.wang.2017@sis.smu.edu.sg NG Jun Hong Junhong.ng.2017@sis.smu.edu.sg Nicole CHAI Ying Jie nicole.chai.2017@sis.smu.edu.sg Jeremy LIM jeremy.lim.2017@sis.smu.edu.sg Danston GOH Kheng Boon danston.goh.2017@sis.smu.edu.sg	Private Banking Client Dashboard (Version 1) - Citi Private Bank (CPB) Investment Counsellors and Advisors provide frequent consultation to HNWI and UHWNI (high and ultra-high net-worth individuals) on how to manage their Investment portfolios. In order to perform their job they need high speed access to a client's positions, real-time market data and publicly available sentiment on the portfolio's constituents. The portfolio is usually composed of capital market securities and various funds (hedge, mutual, real estate, private equity). Careful thought needs to be put into providing an enriching UX / UI and leveraging machine / deep learning capability to provide robust recommendations. The users will use the information to pro-actively and also reactively service CPB's HNWI and UHNWI clients.
Placeholder	Member 1 Member 2 Member 3 Member 4 Member 5 Member 6	Private Banking Client Dashboard (Version 2) - Citi Private Bank (CPB) Investment Counsellors and Advisors provide frequent consultation to HNWI and UHWNI (high and ultra-high net-worth individuals) on how to manage their Investment portfolios. In order to perform their job they need high speed access to a client's positions, real-time market data and publicly available sentiment on the portfolio's constituents. The portfolio is usually composed of capital market securities and various funds (hedge, mutual, real estate, private equity). Careful thought needs to be put into providing an enriching UX / UI and leveraging machine / deep learning capability to provide robust recommendations. The users will use the information to pro-actively and also reactively service CPB's HNWI and UHNWI clients.
Placeholder	Member 1 Member 2 Member 3 Member 4 Member 5 Member 6	Predictive Analysis of Risk Utilization - Citi's institutional clients place millions of orders on any given trading day through its electronic execution platforms. As orders come in through Citi's systems, they are evaluated against several risk parameters(such as credit limits) before the order is sent to the market. While currently, breaches in these parameters can be identified the moment the orders are placed, the next gen evolution of this risk management system requires predictive analytics of such breach events. This will enable Citi's clients and client facing officials to prevent regulatory violations, navigate trading disruptions by proactively take measures to prevent such breaches by allocating funds/ changing their trading strategy etc.
Placeholder	Member 1 Member 2 Member 3 Member 4 Member 5 Member 6	Customer Mailing Address Analysis - Addresses of people and businesses contain important information about them. More data about the locations of those addresses is required to get some insight from addresses. For example the population, geographic and economic indicators, crime rates etc. can be helpful. We need to collect such information about countries and cities to make the addresses usable in models and other analytics.
Placeholder	Member 1 Member 2 Member 3 Member 4 Member 5 Member 6	Marketing Audience Segmentation (Version 1) - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
Placeholder	Member 1 Member 2 Member 3 Member 4 Member 5 Member 6	Marketing Audience Segmentation (Version 2) - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
Placeholder	Member 1 Member 2 Member 3 Member 4 Member 5 Member 6	Robo-Advisor - Student defined project. A robo-advisor that will; classify customers based on their investment experience and risk appetite, recommend a portfolio of investments to customers, provide visualizations / analysis of the customer's investment portfolio, and provide a budgeting and savings dashboard as an extension or the above.