Job Description
Join our dynamic finance team as an Equity Options Data Analyst where you'll transform complex financial data into actionable insights. This role offers the opportunity to work at the intersection of quantitative finance and cutting-edge data science, driving strategic decisions for our global portfolio. You'll collaborate with senior traders and risk managers in a fast-paced environment that values precision and innovation. Our Detroit-based hub provides a vibrant work culture with competitive benefits and opportunities for professional growth in the heart of the financial industry.
Responsibilities
- Analyze and interpret equity options pricing models, volatility surfaces, and risk metrics using Python/R
- Develop automated data pipelines to extract, clean, and integrate options market data from multiple sources
- Create interactive dashboards and visualizations for real-time monitoring of options positions and P&L
- Conduct ad-hoc statistical analysis to support trading strategies and hedging decisions
- Validate data integrity and troubleshoot discrepancies in options datasets
- Document methodologies and present findings to cross-functional stakeholders
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field
- 3+ years of experience in equity options data analysis or quantitative finance
- Proficiency in SQL for complex data extraction and manipulation
- Advanced skills in Python (Pandas, NumPy) or R for quantitative analysis
- Familiarity with options pricing models (Black-Scholes, Binomial) and volatility modeling
- Experience with visualization tools (Tableau, Power BI) and statistical software
- Strong problem-solving abilities with attention to detail and accuracy