Job Description
Join our elite quantitative team as an Equity Options Data Analyst and drive strategic trading decisions through weekend-shift data excellence. This pivotal role combines deep financial market expertise with cutting-edge analytics to optimize options portfolios. Work remotely with our San Francisco and New York teams, leveraging real-time market data to identify opportunities and mitigate risks. Perfect for professionals seeking high-impact weekend work with competitive compensation and growth potential in the heart of fintech innovation.
Responsibilities
- Analyze complex equity options datasets to identify pricing inefficiencies and trading signals
- Develop and maintain SQL/Python scripts for real-time options risk modeling
- Collaborate with traders to design data-driven strategies for volatility surfaces and Greeks analysis
- Generate executive dashboards highlighting weekend market anomalies and opportunities
- Validate option pricing models using Black-Scholes and Monte Carlo simulations
- Monitor regulatory changes impacting equity derivatives and adjust analytics frameworks
- Lead weekend data quality audits ensuring 99.9% accuracy for trading operations
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or Computer Science (MS/MBA preferred)
- 3+ years of experience in equity options analysis or quantitative finance
- Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- CFA/FRM designation or equivalent options market certification
- Demonstrated understanding of options pricing models, volatility surfaces, and risk metrics
- Proven ability to manage weekend shift schedules with minimal supervision
- Experience with market data vendors (Bloomberg, Refinitiv) and API integrations