Job Description
Join Capital Analytics Partners as a Senior Equity Options Data Analyst and drive data-driven decisions in the heart of global finance. We're seeking a meticulous professional to transform complex options market data into actionable insights for our prestigious client base. This hybrid role combines the prestige of our Washington, DC office with flexible remote work options, offering an unparalleled opportunity to shape investment strategies while advancing your career in financial technology.
Our team operates at the intersection of quantitative analysis and market intelligence, where your expertise will directly influence multi-million dollar trading decisions. You'll collaborate with Wall Street veterans and fintech innovators to decode market volatility, identify arbitrage opportunities, and optimize option pricing models.
Responsibilities
- Analyze and interpret equity options market data using advanced statistical methods to identify trading signals and market inefficiencies
- Develop and maintain automated data pipelines for real-time options pricing, volatility surfaces, and risk metrics
- Create interactive dashboards and visualizations for portfolio managers and quantitative analysts using Tableau/Power BI
- Validate and enhance option pricing models (Black-Scholes, Binomial, Monte Carlo) against actual market data
- Collaborate with trading desks to backtest new strategies and provide quantitative analysis support
- Document methodologies, data sources, and model assumptions with precision for regulatory compliance
- Mentor junior analysts on best practices in financial data analysis and SQL optimization
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or related field (Master's preferred)
- 3+ years of experience analyzing equity options data with proven track record in financial markets
- Expert proficiency in SQL for complex data extraction and manipulation across large datasets
- Advanced skills in Python (Pandas, NumPy, Scikit-learn) or R for quantitative analysis
- Strong understanding of options pricing models, volatility surfaces, and Greeks (Delta, Gamma, Theta, Vega)
- Experience with financial APIs (Bloomberg, Refinitiv, Interactive Brokers) and market data feeds
- Portfolio demonstrating data visualization projects with Tableau or Power BI
- Ability to communicate complex quantitative insights to non-technical stakeholders