Job Description
Join our dynamic finance team as a Senior Equity Options Data Analyst and drive critical insights for institutional investors. This remote role offers unparalleled flexibility while working at the intersection of quantitative finance and advanced data science. You'll transform complex options market data into actionable strategies using cutting-edge analytics platforms. Collaborate with traders and portfolio managers to enhance pricing models, volatility surfaces, and risk management frameworks. Enjoy competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative environment.
Responsibilities
- Analyze equity options market data to identify arbitrage opportunities and pricing inefficiencies
- Develop and maintain automated data pipelines for real-time options pricing and volatility modeling
- Create advanced analytics dashboards for options Greeks, implied volatilities, and risk exposure metrics
- Collaborate with quantitative researchers to enhance Black-Scholes and binomial tree models
- Validate and clean large-scale datasets from exchanges (CBOE, NYSE) and alternative sources
- Present complex findings to executive stakeholders through interactive visualizations
- Stay current with regulatory changes (SEC, FINRA) affecting options trading and reporting
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science (Master's preferred)
- 5+ years experience in equity options analysis or quantitative finance roles
- Expert proficiency in Python (Pandas, NumPy) and SQL with financial data applications
- Deep understanding of options pricing models, volatility surfaces, and risk-neutral valuation
- Experience with Bloomberg Terminal, Refinitiv Eikon, or similar financial data platforms
- Strong statistical modeling skills with ability to validate complex financial hypotheses
- Proven track record of building automated data pipelines and ETL processes
- Excellent communication skills with ability to translate technical concepts for non-technical audiences