--Use web scraping techniques, APIs and quantitative models to extract, clean and analyze financial metadata and time series data across multiple asset classes. --Apply AI and quantitative finance models to research, develop and implement risk management signals and algorithmic investment strategies --Identify, implement and test early warning signals and volatility indicators, with a focus on Equities, Cryptocurrencies and NFTs --Perform back-testing and financial simulations, and create a set of functions in Github with documentation and examples --Automate code for paper trading and implement dashboards to monitor strategies and input/modify parameters
Company Information
Company | Company GA |
HQ | N/A |
Revenue | N/A |
Employees | Unlisted |
Stage | Medium Business |
Hiring Potential | N/A |
Website |
Company Overview
We are a Big Data Company that uses State-of-the-Art Statistical and Artificial Intelligence models to produce actionable investing, policy making insights, signals and alternative data. Our clients are comprised of Institutional investors, Governments and Corporations.
Course Info & Engagement Details
School | Stevens Institute of Technology, School of Business Industry Capstone Program |
Engagement Format | Capstone - Small Team Consulting Project - Students work in small groups of 2-6 directly with faculty and host company project champions on developing real solutions to real-world challenges. |
Course | MGT 809: Spring 2022 Industry Capstone Program |
Level |
|
Students Enrolled | 30 (5-6 students per project) |
Meeting Day & Time | TBD |
Student Time Commitment | 8-15 Hours Per Week |
Company Time Commitment | 1 Hour |
Duration | 11 Weeks |
Project Topics
Students

Collaboration Timeline
Key Milestones & Project Process
Project Resources
There are no resources currently available
Company Supervising Team
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School Supervisors




