Quantitative Trading Analyst

Company: DRW
Apply for the Quantitative Trading Analyst
Location: London
Job Description:

Overview

In this role you apply quantitative thinking to volatility markets within a globally active trading team. You will develop models, implement strategies, and manage live algorithms across asset classes, collaborating with technology to improve infrastructure. You’ll analyze large market datasets to identify opportunities and risks, contributing to liquidity provision in options and market expansion initiatives. This is a hands-on, fast-paced role that rewards curiosity, precision, and cross-functional impact.

Responsibilities

  • Analyze, improve and implement trading strategies
  • Develop and maintain quantitative models, analytics, and trading tools
  • Analyze large datasets to identify market opportunities, inefficiencies, and risk exposures
  • Actively manage live market trading algorithms
  • Provide liquidity in options via systematic algos and voice in IDB markets
  • Conduct research into volatility dynamics, pricing, and market microstructure
  • Collaborate with technology teams to improve trading infrastructure and automation
  • Support new product and market expansion initiatives across asset classes

Key requirements

  • 1–2 years of experience in trading, quantitative analysis, research, or a related role
  • Strong academic background in mathematics, physics, computer science, engineering, or a similarly quantitative discipline
  • Excellent quantitative and analytical problem-solving skills
  • Strong understanding of probability, statistics, and market behavior
  • Proficiency in Python; experience with SQL, R, or C++ is a plus
  • Intellectual curiosity and a genuine interest in financial markets and volatility products
  • Ability to work in a fast-paced, collaborative environment
  • Strong communication skills and attention to detail
  • Experience working with derivatives or volatility products
  • Familiarity with options pricing, Greeks, or volatility surface analysis
  • Experience handling large market datasets or building research pipelines
  • Intellectual curiosity
  • Strong communication
  • Attention to detail
  • Python
  • SQL
  • R

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Posted: October 1st, 2026