Quantitative Trading Analyst Intern

DRW; Greater London; On-site; GBP 20,000 - 27,000; Full time

Job summary

DRW is seeking a Quantitative Trading Analyst Intern to join a fast-paced team in a summer program. You will gain exposure to trading and technology, working on project-based assignments to learn how to identify optimal trading strategies within a regulated framework.

You will collaborate with senior traders and researchers, apply quantitative methods and machine learning to market data, and present results to leadership at the program’s conclusion.

Qualifications

• Pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between December 2027 and August 2028.

Responsibilities

• Collaborate with senior traders, technologists and researchers to develop and improve trading strategies on the trading desk.
• Research market data and apply analytics to identify viable trading opportunities.
• Apply machine learning techniques to market tick data for automated trading.
• Take on assignments like position tracking and risk analysis under supervision.

Skills

Python

Quantitative analysis

Problem solving

Communication

Team collaboration

Education

Bachelor's/Master/PhD in math, economics, physics, statistics, CS or related field

Tools

Pandas

Job description

Quantitative Trading Analyst Intern

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

As a Quantitative Trading Analyst Intern, you will gain exposure to the dynamic worlds of trading and technology to learn what it takes to become a successful and sustainable trader. You will work on a small team to combine the disciplines of technology, research and risk management to identify optimal trading and investment strategies within the regulatory framework through a series of project-based assignments. At the conclusion of 10 weeks, you will have the opportunity to present your results to senior leadership at DRW.

How You Will Make An Impact

• Collaborate with senior traders, technologists and quantitative researchers by developing and improving trading strategies by working directly on the trading desk.
• Identify and research in the development of cutting‑edge market research projects using powerful analytic tools.
• Market research projects vary from macroeconomic data curation and analysis to application of machine learning techniques to market tick data for automated trading.
• Be given immediate responsibility through assignments like position tracking, calculating risk, and analysing vital theoretical values.

What You Bring To The Team

• Are pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between December 2027 and August 2028.
• Advanced quantitative, analytical and problem‑solving skills and the ability to deploy those skills under time‑sensitive situations.
• Proficient programming in Python.
• Self‑motivated, enjoy challenges and significant responsibility, and thrive in fast‑paced, competitive environments.
• Passion for the financial markets and a deep curiosity to explore new methodologies.
• Strong communication skills to advocate your ideas in a clear and concise manner to the group.

What To Expect During The Internship

• Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides 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: 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.

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