Job Description
Join our elite team as an Equity Options Data Analyst and revolutionize how we interpret market dynamics! This weekend-based role (Saturday-Sunday) offers the unique opportunity to work with cutting-edge financial data while enjoying a balanced weekday schedule. You'll dive deep into options pricing models, volatility surfaces, and market microstructure to drive strategic investment decisions. Our collaborative environment combines fintech innovation with traditional finance expertise, offering unparalleled growth opportunities in one of California's most dynamic coastal cities.
Responsibilities
- Analyze complex equity options data using Python, SQL, and R to identify trading opportunities and market anomalies
- Develop real-time dashboards monitoring options Greeks, implied volatility skew, and risk exposure metrics
- Collaborate with traders to build quantitative models for exotic options pricing and hedging strategies
- Validate data integrity across multiple market feeds and ensure compliance with SEC regulations
- Generate weekly performance reports correlating options activity with underlying equity movements
- Implement machine learning algorithms to predict options chain behavior during volatile market conditions
- Maintain documentation for data pipelines and analytical methodologies
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or Computer Science (Master's preferred)
- 3+ years of experience in equity derivatives analytics or quantitative finance
- Advanced proficiency in Python (Pandas, NumPy) and SQL with financial data manipulation
- CFA charterholder or FRM designation strongly preferred
- Deep understanding of Black-Scholes model, binomial trees, and Monte Carlo simulations
- Experience with Bloomberg API, OptionMetrics, or similar financial data platforms
- Ability to work independently during weekend shifts with minimal supervision
- Strong attention to detail with proven track record in high-stakes financial reporting