Job Description
Join our elite finance team as a Weekend Equity Options Data Analyst where you'll transform complex market data into actionable insights. This critical role supports our global trading operations by analyzing equity options trends, volatility patterns, and risk metrics. Work remotely during flexible weekend hours while collaborating with senior traders and quantitative analysts to optimize portfolio performance. Ideal candidates thrive in fast-paced environments and possess a passion for financial data integrity.
Responsibilities
- Analyze real-time equity options data using SQL, Python, and R to identify pricing anomalies and market opportunities
- Develop automated models for options pricing, delta hedging, and risk exposure calculations
- Generate daily P&L reports and volatility forecasts for senior management
- Monitor regulatory compliance changes affecting derivatives trading (SEC, FINRA)
- Collaborate with cross-functional teams to enhance algorithmic trading strategies
- Document data methodologies and maintain audit-ready datasets
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science
- 3+ years of equity options or derivatives data analysis experience
- Advanced proficiency in Python (Pandas, NumPy), SQL, and financial APIs
- Certification in financial modeling (FRM/CFA) or data analytics preferred
- Deep understanding of Black-Scholes and binomial pricing models
- Experience with Bloomberg Terminal or similar market data platforms
- Ability to work independently during weekend shifts with minimal supervision