Quantitative Market Intelligence

About

Quantitative Market Intelligence (QMI) is a division of The USIT Foundation that focuses on leveraging relevant data in making strategic investment decisions. QMI was created to open applied data science education to all students who wish to learn how to create, analyze, visualize, and utilize financially relevant datasets. By giving students the opportunity to advance highly-sought after technical skills, create proprietary datasets, and develop quantitative trading strategies, QMI empowers its members to become quantitatively intelligent investors and business leaders.

QMI consists of Intelligence Analysts, Intelligence Leads, Directors of Technology and Finance, and Executive Director(s). All members of QMI are taught critical data science and financial analysis skills through weekly workshop-style lectures and a project-based curriculum by QMI Directors. Using acquired skills, members work on and complete advanced data collection, processing, and visualization tasks that culminate in the presentation of investible insights and position recommendations. Additionally, members partake in the research of multi-stock algorithmic trading strategies to identify systematic methods of alpha generation. Select Intelligence Analysts and other qualified members of USIT can progress to the Intelligence Lead position where they mentor and teach new QMI members in various project and workshop settings. Similarly, dedicated Intelligence Leads can become Directors in the organization and develop teams centered around their particular area of expertise. .

Portfolio managers

Raj Solanki, Diego Lira, Michael Chen, and Katherine Yu

Applications

Applications for QMI Junior Intelligence Analyst positions are open and can be accessed through this link!