Quantitative Trading Intern: Real-World Markets & Tech

P2P; Greater London; On-site; GBP 22,320 - 33,480; Full time

Benefits offered by this job

Housing near office

Mentorship program

Social events

Job summary

DRW in London is seeking a Quantitative Trading Analyst Intern to learn trading and technology on a small, dedicated team. You will work on project-based assignments and present results to senior leadership at the end of the 10‑week program.

The internship combines technology, research and risk management to identify optimal trading strategies within the regulatory framework, with housing nearby, social events, mentoring, and an education component including an options course and a technology

Qualifications

• Pursuing a bachelor’s, master’s or PhD in a quantitative field with graduation between Dec 2027 and Aug 2028.
• Advanced quantitative, analytical and problem‑solving skills and ability to perform under time pressure.
• Proficient programming in Python.
• Self-motivated, enjoy challenges and take on responsibility in fast‑paced environments.
• Passion for financial markets and curiosity to explore new methodologies.

Responsibilities

• Collaborate with senior traders, technologists and researchers on trading strategies.
• Identify and research market projects using analytic tools and data.
• Apply machine learning techniques to market tick data for automated trading.
• Take immediate responsibility on assignments like position tracking and risk analysis.

Skills

Quantitative analysis

Analytical thinking

Problem solving

Strong communication

Self-motivated

Education

Bachelor/Master/PhD in math, econ, physics, stats, CS or related field

Tools

Python

Research tools

Job description

DRW in London is seeking a Quantitative Trading Analyst Intern to learn trading and technology on a small, dedicated team. You will work on project-based assignments and present results to senior leadership at the end of the 10‑week program.

The internship combines technology, research and risk management to identify optimal trading strategies within the regulatory framework, with housing nearby, social events, mentoring, and an education component including an options course and a technology