Senior Data Scientist – Systematic Trading
New York / Chicago
Our client is a leading global market maker using data, technology, and quantitative research to price and manage risk. They are seeking a Senior Data Scientist to join their Systematic Volatility Trading team, driving research, trading growth, and strategy development.
This role sits at the core of systematic trading, with a focus on three key areas:
• Data Science & Analytics – analyse complex options and market data, apply statistical methods, and build reporting to support research and trading.
• Technical Ownership & Engineering – lead data validation builds, develop ETL pipelines, and ensure robust, scalable infrastructure.
• Impact & Execution – deliver mission-critical projects, implement research ideas, integrate new data, and set data quality standards.
Qualifications
• 5+ years of relevant experience within a hedge fund, prop trading firm, or leading investment bank.
• Strong track record delivering production-grade data solutions in high-performance environments.
• Proficiency in Python and experience with statistical analysis, time series, and regression.
• Expertise in building ETL pipelines and data validation systems; familiarity with SQL and job scheduling tools (e.g. Airflow) is a plus.
• Deep understanding of financial market data — options experience highly advantageous.
This opportunity offers a competitive compensation package and hybrid working model.