Job Description
Join Quantum Financial Analytics as a Senior Equity Options Data Analyst and become the architect of our financial intelligence revolution. We're seeking a visionary professional to transform complex equity options data into strategic gold for institutional clients. In this high-impact role, you'll pioneer advanced analytics that drive multi-million dollar trading decisions while working alongside Nobel laureates and Wall Street veterans. Our Detroit hub offers unparalleled access to automotive and financial sectors, creating a unique ecosystem for innovation.
Responsibilities
- Design and implement cutting-edge data pipelines for real-time equity options pricing and volatility analysis
- Develop predictive models for option Greeks (Delta, Gamma, Theta, Vega) using machine learning algorithms
- Create interactive dashboards for portfolio managers to visualize risk exposure and P&L scenarios
- Collaborate with traders to backtest strategies using historical options data and market microstructure
- Automate compliance reporting for SEC and FINRA regulations using Python/R
- Lead cross-functional projects with quantitative research teams to enhance pricing accuracy
- Maintain data integrity across 10TB+ of market data from NYSE, CBOE, and dark pools
Qualifications
- Master's degree in Financial Engineering, Mathematics, or Computer Science (PhD preferred)
- 5+ years experience in options analytics with proven track record in volatility modeling
- Expert proficiency in Python (Pandas, NumPy) and R with options pricing libraries (QuantLib, Pyfolio)
- Deep understanding of Black-Scholes, Binomial, and stochastic volatility models
- Advanced SQL skills for complex time-series queries across terabyte-scale databases
- CFA/FRM designation or equivalent options trading certification
- Experience with cloud platforms (AWS/GCP) for scalable data processing
- Portfolio showcasing options strategy backtesting projects