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Quantitative Trading Analyst Intern

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DRW

Aug 8, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Banking & Finance
  • London

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 2024 and October 2025
  • 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

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.

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