Job Description
Join our dynamic financial analytics team as a Part-Time Equity Options Data Analyst. This remote-friendly role requires 20-25 hours weekly, focusing on extracting actionable insights from complex equity options datasets. You'll collaborate with portfolio managers to model volatility, analyze risk exposures, and support strategic trading decisions. Perfect for finance professionals seeking flexible hours while working with cutting-edge financial technologies.
Responsibilities
- Analyze equity options chain data using SQL and Python to identify trading opportunities
- Build automated dashboards for real-time options pricing and risk metrics
- Validate options pricing models against market data discrepancies
- Generate monthly reports on implied volatility surfaces and skew patterns
- Collaborate with derivatives traders to refine execution strategies
- Maintain data integrity across options databases and vendor feeds
Qualifications
- Bachelor's degree in Finance, Statistics, or quantitative field
- 3+ years experience with equity derivatives data analysis
- Proficiency in Python (Pandas, NumPy) and SQL
- Advanced knowledge of Black-Scholes and binomial pricing models
- Familiarity with options analytics platforms (e.g., Bloomberg, OptionMetrics)
- Strong attention to detail with complex numerical datasets
- Ability to work independently with minimal supervision