Quantitative Research Intern — London, Housing & Mentorship

Tradermath; Greater London; Hybrid; GBP 25,000 - 36,000; Full time

Benefits offered by this job

Housing provided

Mentorship program

Educational courses & events

Job summary

DRW offers a Quantitative Research Intern role in London, focusing on solving challenging trading problems with statistical methods, ML, and derivatives pricing theory. You will work with a team across equity and fixed income desks, using cutting-edge research infrastructure for back-testing and model validation.

You will gain exposure to multiple asset classes, collaborate with traders, and participate in an immersion program including an options course and technology training, while enjoying

Qualifications

• Bachelor’s, Master’s or PhD in a technical discipline graduating between December 2027 and October 2028.
• Strong Python experience with NumPy/Pandas/scikit-learn.
• Experience exploring large datasets.
• Solid foundation in statistics; probability theory and stochastic calculus.
• Familiarity with NLP and HPC is a plus.
• Excellent written and verbal communication to report results.
• Publications in top-tier NLP or HPC journals is a plus.

Responsibilities

• Create practical solutions on a systematic equity or fixed income desk.
• Conduct statistical analysis of market data, trends, and relationships across asset classes.
• Formulate and apply quantitative models and machine learning techniques to identify trading opportunities.
• Work closely with traders and researchers to build and refine research infrastructure and tools.

Skills

Python

Large datasets

Statistics

Machine Learning

NLP exposure

Communication skills

Education

Bachelor/Master/PhD in technical field

Tools

scikit-learn

NumPy/Pandas

Job description

DRW offers a Quantitative Research Intern role in London, focusing on solving challenging trading problems with statistical methods, ML, and derivatives pricing theory. You will work with a team across equity and fixed income desks, using cutting-edge research infrastructure for back-testing and model validation.

You will gain exposure to multiple asset classes, collaborate with traders, and participate in an immersion program including an options course and technology training, while enjoying