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Quantitative Research Intern at DRW - ApplyBlast

Quantitative Research Intern

DRW

3 months ago

4.2 on Glassdoor

New York City, United States

Onsite

Internship

Intern

0 applicants

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About this role

A Quantitative Research Intern at DRW solves challenging problems in a trading environment using statistical algorithms, machine learning, and derivatives pricing theory. The role involves creating practical solutions for systematic equity or fixed income options desks, conducting statistical analysis of market data, and building research infrastructure with guidance from experienced traders.

Responsibilities

Create practical solutions to problems in systematic equity or fixed income options trading desks
Conduct statistical analysis of market data and historical trends across multiple asset classes
Formulate and apply mathematical modeling and machine learning techniques to identify trading opportunities
Build and refine research infrastructure and tools in collaboration with traders and researchers
Validate proposed models using the team's custom research infrastructure for simulation and back-testing

Skills

Qualifications

Bachelor's, Master's or PhD in Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative FinanceProficiency in Python machine learning stack (numpy, pandas, scikit-learn)

About DRW

drw.com

Headquarters

Chicago, Illinois, United States

Company Size

1001-5000 employees

Founded

1992

View Profile

DRW is a diversified, technology-driven proprietary trading firm founded by Don Wilson that trades and provides liquidity across traditional and emerging markets. The firm deploys proprietary capital and builds in-house research and engineering teams to develop quantitative strategies and trading infrastructure. DRW operates through specialized businesses—including Cumberland for digital-asset trading—and also makes strategic investments in new technologies and ventures. It emphasizes innovation, risk management, and market-structure expertise across a global footprint.