Quantitative Trading Analyst Intern

DRW•Chicago, IL

1d•Onsite

About The Position

As a Quantitative Trading Analyst Intern, you will gain exposure to the dynamic worlds of trading and technology in order to learn what it takes to become a successful and sustainable trader. You will work on a small team to combine the disciplines of technology, research and risk management to identify optimal trading and investment strategies within the regulatory framework through a series of project based assignments. At the conclusion of 10 weeks, you will have the opportunity to present your results to senior leadership at DRW. While your days will have you engrossed with complex quantitative trading projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Chicago, Greenwich & New York.

Requirements

Pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between December 2027 and June 2028
Advanced quantitative, analytical and problem-solving skills and the ability to deploy those skills under time-sensitive situations
Proficient programming in Python
Self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments
A passion for the financial markets and a deep curiosity to explore new methodologies
Strong communication skills to advocate your ideas in a clear and concise manner to the group

Responsibilities

Collaborate with senior traders, technologists and quantitative researchers by developing and improving trading strategies by working directly on the trading desk
Identify and research in the development of cutting-edge market research projects using powerful analytic tools
Market research projects vary from macroeconomic data curation and analysis to application of machine learning techniques to market tick data for automated trading
Be given immediate responsibility through assignments like position tracking, calculating risk, and analyzing vital theoretical values