Quantitative Research Intern

DRW Holdings, LLC.; Greater London; On-site; GBP 20,000 - 30,000; Full time

Benefits offered by this job

Fully furnished housing near office

Mentorship program

Technical coursework on options & HPC

Job summary

DRW Holdings, LLC. invites talented students to join its Quantitative Research Internship in London.

You will tackle challenging problems in a trading environment using statistics, ML, and derivatives pricing theory, with access to the team’s research infrastructure for back-testing and validation. Day-to-day work includes modeling, data analysis across asset classes, and collaboration with traders and researchers.

Qualifications

• Pursuing a Bachelor's, Master's or PhD in a technical discipline with focus on Statistics, Optimisation, Machine Learning, AI, Quantitative Finance or related fields graduating between December 2027 and October 2028.
• Proficiency in Python programming with the Python ML stack: NumPy, Pandas, scikit-learn, etc.
• Proficient programming skills with experience exploring large datasets.
• Strong analytical and problem-solving skills with a solid foundation in statistics.
• Working knowledge of probability theory, stochastic calculus and numerical methods (finite differences, Monte Carlo).
• Some exposure to NLP and/or High-Performance Computing is a plus.
• Excellent written and verbal communication to report results and methodologies.
• Bonus if published in top-tier NLP or HPC journals.

Responsibilities

• 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

Job description

Quantitative Research Intern

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 custom research infrastructure for simulation, back‑testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organised social events to truly discover what it’s like to live and work in London.

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


• Strong analytical and problem‑solving skills including a solid foundation of statistics knowledge


• Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc.


• Some exposure to Natural Language Processing and/or High-Performance Computing is a plus


• Excellent written and verbal communication skills to report research results as well as methodologies


• Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing

What to expect during the internship

• Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real‑world work experience.


• Community: Throughout the summer, we host a variety of educational, social and team‑building activities to explore the city, foster friendships and camaraderie.


• Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible.


• Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.


• Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect.