Job Description
Join Quantum Financial Analytics as an Equity Options Data Analyst and drive data-driven decisions in the dynamic world of derivatives trading. We're seeking a meticulous professional to transform complex equity options data into actionable insights for our trading desk and portfolio managers. In this high-impact role, you'll collaborate with quantitative analysts and traders to develop pricing models, monitor market volatility, and optimize trading strategies. Our Oakland-based team operates at the intersection of finance and technology, offering unparalleled opportunities to shape the future of options analytics.
We offer a competitive compensation package, comprehensive benefits, and a culture that values intellectual curiosity and innovation. If you're passionate about leveraging data to navigate financial markets, we want to hear from you.
Responsibilities
- Analyze and interpret equity options market data to identify trading opportunities and risk exposures
- Develop and maintain pricing models for exotic and vanilla options using Python/R
- Create automated dashboards and reports for real-time market monitoring and P&L analysis
- Collaborate with quants to validate pricing assumptions and improve model accuracy
- Monitor volatility surfaces and correlation structures across global equity markets
- Support backtesting of options strategies and performance attribution analysis
- Document methodologies and ensure regulatory compliance for all data processes
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field
- 3+ years of experience in equity options analytics or quantitative finance
- Expert proficiency in SQL, Python (Pandas, NumPy), and R for data manipulation
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo)
- Experience with market data vendors (Bloomberg, Refinitiv) and derivatives APIs
- Strong knowledge of volatility surfaces, Greeks, and options arbitrage strategies
- Ability to communicate complex financial concepts to non-technical stakeholders
- Experience with data visualization tools (Tableau, Power BI) and cloud platforms (AWS/Azure)