Job Description
Join our elite quantitative finance team as an Equity Options Data Analyst where you'll transform complex derivative market data into actionable insights. This hybrid role (3 days DC office, 2 days remote) offers the unique opportunity to work at the intersection of Wall Street analytics and public policy. You'll leverage cutting-edge tools to monitor option pricing models, analyze volatility surfaces, and support our portfolio management strategies.
Our ideal candidate thrives in fast-paced financial environments and possesses a deep understanding of equity derivatives. You'll collaborate directly with senior traders and risk managers to develop data pipelines that drive multi-million dollar decisions. This position includes competitive benefits, quarterly performance bonuses, and opportunities for professional growth in the heart of DC's financial district.
Responsibilities
- Design and implement automated data pipelines for real-time options pricing and volatility analysis
- Monitor option chain anomalies and model discrepancies across US equity markets
- Develop interactive dashboards using Power BI/Tableau to visualize option Greeks and risk exposures
- Support quantitative research teams by cleaning and structuring large-scale options market data
- Collaborate with compliance to ensure adherence to SEC and FINRA reporting requirements
- Document data methodologies and maintain data quality standards for audit trails
- Present findings to executive stakeholders through clear, data-driven narratives
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science (Master's preferred)
- 3+ years experience in equity derivatives data analysis or quantitative finance
- Expert proficiency in SQL and Python (Pandas, NumPy) with R/Excel VBA secondary
- Deep understanding of Black-Scholes models, volatility surfaces, and option pricing theory
- Experience with market data vendors (Bloomberg, Refinitiv, OptionMetrics)
- Proven ability to work with large datasets (terabyte-scale) in cloud environments (AWS/GCP)
- Strong communication skills with ability to translate complex analytics for non-technical audiences