Job Description
Join Capital Analytics Group as an Equity Options Data Analyst and become a pivotal force in our financial intelligence operations. In this high-impact role, you'll transform complex market data into actionable insights that drive our trading strategies and risk management frameworks. Our Oklahoma City hub offers a dynamic environment where your analytical expertise directly influences multi-million dollar decisions.
We're seeking a detail-oriented professional who thrives at the intersection of finance and data science. You'll collaborate closely with portfolio managers and quantitative analysts, leveraging cutting-edge tools to decode options market behavior. This is your opportunity to shape the future of financial analytics while advancing your career in a growth-oriented organization.
Responsibilities
- Develop and maintain sophisticated models for equity options pricing, volatility analysis, and risk assessment
- Analyze large-scale market datasets to identify arbitrage opportunities and pricing inefficiencies
- Create interactive dashboards and reports using SQL, Python, and visualization tools for senior stakeholders
- Monitor options market conditions in real-time, flagging anomalies and market regime shifts
- Collaborate with traders to refine execution strategies through quantitative backtesting
- Document methodologies and ensure compliance with regulatory reporting requirements
Qualifications
- Bachelor's degree in Finance, Economics, Statistics, Computer Science, or related quantitative field
- 3+ years of experience in financial data analysis with direct options market exposure
- Advanced proficiency in SQL and Python (Pandas, NumPy) for data manipulation and modeling
- Strong understanding of options pricing models (Black-Scholes, Binomial) and greek calculations
- Experience with data visualization tools (Tableau, Power BI) and statistical analysis software
- Demonstrated ability to translate complex quantitative concepts for non-technical audiences
- CFA or FRM designation preferred