Quantitative Research Intern

DRW is recruiting for Quantitative Research Intern in London. This listing was last seen on the firm's own job board on August 22, 2026.

A broad principal trading firm covering rates, energy, crypto, and real estate, so desk fit matters as much as the screen.

What sets DRW apart: Widest asset coverage of any firm on this list, including physical commodities. Desk assignment happens late, so you interview for the firm rather than a team. Serious crypto and digital assets business through Cumberland.

Related preparation: Quantitative Researcher (QR) Career Roadmap, Machine Learning Quant Career Roadmap, Quant Strategist (Desk Quant) Career Roadmap, Quant Data Scientist (Alternative Data) Roadmap, Quant Research Ops (MLOps) Roadmap and Financial Data Scientist Career Roadmap.

The role, as DRW describes it, published on July 13, 2026 and reproduced from their job board:

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory. The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s…

How you will make an impact…

Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk

Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes

Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities

Work closely with traders and researchers to build and refine research infrastructure and tools

What you bring to the team…

Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimisation, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and October 2028

Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc.

Proficient programming skills with experience exploring large datasets