Job Description
Join our cutting-edge finance team as a remote Equity Options Data Analyst in San Francisco! You'll transform complex financial data into actionable insights to drive strategic decisions in the dynamic options market. Work with industry leaders to develop predictive models and optimize trading strategies. This role offers competitive compensation, flexible remote work, and opportunities to shape the future of quantitative finance.
Responsibilities
- Analyze equity options pricing models and implied volatility surfaces using advanced statistical methods
- Develop and maintain automated data pipelines for real-time options market data ingestion
- Create interactive dashboards and visualizations for trading desk and executive reporting
- Collaborate with quants to backtest and validate options trading strategies
- Identify market anomalies and opportunities through rigorous data mining techniques
- Document analytical methodologies and ensure data quality standards compliance
Qualifications
- 3+ years of experience in financial data analysis, specifically with equity derivatives
- Advanced proficiency in Python (Pandas, NumPy) and SQL for data manipulation
- Strong understanding of options pricing models (Black-Scholes, Binomial Trees)
- Experience with statistical analysis tools (R, SAS, or Stata) and visualization libraries
- Bachelor's degree in Finance, Mathematics, Statistics, or related quantitative field
- Familiarity with market data vendors (Bloomberg, Refinitiv) and APIs
- Certification in CFA or FRM preferred