Job Description
Join Quantum Financial Analytics as a Senior Equity Options Data Analyst and transform complex financial datasets into actionable insights. We're seeking a meticulous professional to drive our options trading strategies through advanced data modeling and market analysis. This hybrid role combines deep financial expertise with cutting-edge analytics to optimize portfolio performance and risk mitigation.
Our Indianapolis-based team collaborates with global trading desks to develop predictive models for equity options pricing, volatility analysis, and hedging strategies. You'll work directly with quantitative researchers and portfolio managers to deliver data-driven solutions that impact multi-million dollar decisions.
Responsibilities
- Analyze historical and real-time equity options data to identify market trends and pricing anomalies
- Develop and maintain automated data pipelines for options market data ingestion and processing
- Build statistical models for options valuation, implied volatility surfaces, and risk metrics
- Collaborate with traders to backtest strategies using Python/R and SQL
- Generate comprehensive reports on options market behavior and portfolio exposures
- Optimize data visualization tools for executive-level decision support
- Stay current on regulatory changes impacting options markets
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related field (Master's preferred)
- 4+ years experience in equity options data analysis or quantitative finance
- Expert proficiency in Python (Pandas, NumPy) and SQL for financial data manipulation
- Deep understanding of options pricing models (Black-Scholes, Binomial Trees)
- Experience with market data vendors (Bloomberg, Refinitiv) and options data structures
- Strong statistical modeling skills with time series analysis and regression techniques
- Ability to communicate complex financial concepts to non-technical stakeholders