DRW - Quantitative Trading Analyst - Equity Options
Requirements
• 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
Responsibilities
• 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.
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