Job Description
Join our dynamic Austin-based team as a Senior Equity Options Data Analyst and drive data excellence in one of finance's most critical niches. We're seeking a visionary professional to transform complex market data into actionable intelligence for our institutional clients. This hybrid role combines deep quantitative analysis with strategic business insights, working directly with traders, portfolio managers, and quantitative researchers to optimize options strategies and risk management frameworks.
At Capital Markets Insights Group, we foster a culture of innovation and continuous learning. You'll have access to cutting-edge analytics tools, mentorship from industry veterans, and opportunities to present findings at quarterly strategy symposiums. Our Austin headquarters features collaborative workspaces, a dedicated research lab, and competitive benefits including equity participation.
Responsibilities
- Analyze high-frequency options market data to identify arbitrage opportunities, volatility patterns, and pricing anomalies
- Develop and maintain automated data pipelines for real-time options pricing models using Python and SQL
- Create sophisticated dashboards and visualizations for options Greeks, implied volatility surfaces, and risk exposure metrics
- Collaborate with quants to backtest options strategies and validate model assumptions
- Present complex data findings to executive stakeholders through compelling narratives and interactive reports
- Ensure regulatory compliance for options data handling and reporting across SEC and FINRA frameworks
- Mentor junior analysts on options market microstructure and advanced analytics techniques
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related quantitative field (Master's preferred)
- 4+ years of experience analyzing equity options data with proven track record in derivatives pricing
- Expert proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for large-scale data manipulation
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo) and risk metrics
- Experience with financial data platforms (Bloomberg, Refinitiv, or similar) and market data APIs
- Strong business acumen to translate technical findings into actionable trading strategies
- Certifications in CFA, FRM, or CQF highly desirable
- Portfolio demonstrating options analytics projects required