Logo of Huzzle

Home

Matches

Explore

Manage

Quantitative Trading Analyst Intern

image

DRW

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Banking & Finance
  • London
  • Quick Apply

AI generated summary

  • You must be pursuing a degree in a relevant field, skilled in Python, able to work under pressure, passionate about finance, curious, and possess strong communication skills.
  • You will collaborate with traders and researchers to improve strategies, conduct market research using analytics, track positions, calculate risk, and analyze theoretical values.

Requirements

  • 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 2025 and October 2026
  • Advanced quantitative, analytical and problem-solving skills and the ability to deploy those skills under time-sensitive situations
  • Proficient programming in Python
  • Are self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments
  • A 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

Responsibilities

  • 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

FAQs

What is the duration of the internship?

The internship lasts for 10 weeks.

What qualifications do I need to apply for this position?

You should be pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or an engineering-related field, with an expected graduation date between December 2025 and October 2026.

Is programming knowledge required for the role?

Yes, proficiency in programming, specifically in Python, is required for this internship.

Will there be opportunities for mentorship during the internship?

Yes, you will be paired with an experienced mentor to help guide your professional development and discuss goals and challenges.

Are there social activities planned during the internship?

Yes, the internship includes organized social events designed to explore the city and foster friendships among interns.

What kind of projects can I expect to work on?

You will work on projects that involve developing and improving trading strategies, conducting market research, and applying machine learning techniques to market data.

Is housing provided for interns?

Yes, DRW provides fully furnished apartments located close to the office for interns.

Will I have the chance to present my work?

Yes, at the conclusion of the internship, you will have the opportunity to present your results to senior leadership at DRW.

How does DRW support the education of its interns?

Interns will complete an options course taught by an experienced trader and participate in a technology immersion course to better understand the intersection of technology and trading.

What kind of work environment can I expect?

You can expect a fast-paced and competitive work environment where you will have significant responsibility and opportunities to learn.

image

DRW

Finance
Industry
1001-5000
Employees

Mission & Purpose

At DRW, we identify and capture trading and investment opportunities globally. What sets us apart is our diversified approach—trading across many asset classes and instruments, in markets around the world, with horizons from seconds to years. We succeed by leveraging technology, research and risk management. We offer the best of both worlds: the opportunity and spirit of a startup and the benefits and stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. It’s a place of high expectations, deep curiosity, and constant collaboration, with some of the smartest, most passionate people you’ll meet.