Quantitative Trading Analyst at DRW - ScoutJobs - The AI-curated global job board
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Quantitative Trading Analyst

DRWQuantitative Trading Analyst

Requirements

1–2 years experience in trading or quantitative research, Strong background in mathematics, physics, or computer science, Proficiency in Python, Understanding of probability and statistics, Experience with derivatives or volatility products

Skills

PythonData AnalysisFinance

About the role

About the Company

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets.

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

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 working with derivatives or volatility products
  • Familiarity with options pricing, Greeks, or volatility surface analysis
  • Experience handling large market datasets or building research pipelines
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Quantitative Trading Analyst

DRW · London

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