Quantitative Trading Analyst - Equity Options

Job details

Work model

On-site

Salary

Not listed by source

Location

London

Job description

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 value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Quantitative Trading Analyst to join our European Equity Index Options desk. This role sits at the intersection of quantitative research, trading, and technology, supporting a high-performance options market-making business. You will work closely with traders, quantitative researchers, and software engineers to develop analytical tools, improve pricing models, analyze market dynamics, and optimize trading performance. This is an excellent opportunity for a highly analytical individual with strong quantitative and programming skills who is excited by fast-moving markets and enjoys solving challenging problems using data. What You'll Do • Partner with traders to analyze market behavior, volatility dynamics, and trading performance across European equity index options. • Develop quantitative models and analytical tools to improve pricing, risk management, and execution. • Analyze large datasets to identify trading opportunities, market inefficiencies, and performance drivers. • Build dashboards and visualizations that provide actionable insights into desk performance and market conditions. • Design and maintain research pipelines for testing new trading ideas and strategies. • Monitor live trading metrics and investigate anomalies or unexpected market behavior. • Collaborate with software engineers to automate workflows and improve trading infrastructure. • Assist in the evaluation and deployment of new quantitative models into production. • Conduct post-trade analysis and contribute to continuous improvement of the desk's trading strategies. What We're Looking For • Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline. • Familiarity with European equity index products or similar markets. • Strong programming skills in Python; experience with C++, Java, or other high-performance languages is a plus. • Knowledge of derivatives, options pricing, volatility modeling, or quantitative finance. • Solid understanding of probability, statistics, linear algebra, and optimization. • Experience working with large datasets and writing efficient data analysis code. • Strong problem-solving skills with exceptional attention to detail. • Excellent communication skills and the ability to explain quantitative concepts to both technical and non-technical colleagues. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice. #LI-JW1

• Staff Machine Learning EngineerATOMS Careers page · On-site
• Market ManagerATOMS Careers page · On-site
• Safety Validation Lead, ScenariosATOMS Careers page · Not provided by source
• Real Estate Acquisition ManagerATOMS Careers page · On-site
• Senior Payroll DirectorATOMS Careers page · On-site
• Staff Machine Learning Infrastructure EngineerATOMS Careers page · On-site