Job Description
Join our dynamic finance team as a part-time Equity Options Data Analyst. You'll transform complex financial datasets into actionable insights that drive our options trading strategies. This flexible role (20-25 hours/week) offers the perfect blend of technical rigor and financial acumen in a collaborative environment.
We're seeking a detail-oriented professional passionate about market dynamics and data storytelling. You'll collaborate with senior traders and quantitative analysts to monitor volatility surfaces, identify pricing anomalies, and support risk management initiatives. Our hybrid work model includes 2 days/week in our Manhattan office with world-class trading infrastructure.
Responsibilities
- Analyze equity options pricing models using Black-Scholes and binomial frameworks
- Develop Python/R scripts to process market data from CBOE, Bloomberg, and proprietary feeds
- Construct volatility surfaces and Greeks matrices for S&P 500 and Nasdaq-100 options
- Create automated dashboards for P&L attribution and delta hedging performance
- Conduct ad-hoc analysis on unusual option activity and institutional positioning
- Document methodologies and maintain data dictionaries for audit compliance
- Mentor junior analysts on options pricing fundamentals and data visualization best practices
Qualifications
- Bachelor's in Finance, Statistics, Mathematics, or related field (Master's preferred)
- 3+ years analyzing equity options or derivatives data in financial services
- Expert proficiency in Python (Pandas, NumPy) and SQL with financial data
- Deep understanding of options Greeks (delta, gamma, theta, vega) and volatility modeling
- Experience with visualization tools (Tableau, Power BI) for financial dashboards
- CFA or FRM certification highly desirable
- Strong knowledge of SEC reporting requirements for derivatives positions
- Ability to work independently with minimal supervision in a fast-paced environment