Job Description
Join our dynamic finance team as a Senior Equity Options Data Analyst and become the driving force behind our strategic market intelligence initiatives. In this pivotal role, you'll transform complex options market data into actionable insights that directly influence our trading strategies and investment decisions. We're seeking a detail-oriented professional with a passion for quantitative analysis to join our Detroit-based headquarters. Enjoy a collaborative environment where your expertise will shape our approach to equity derivatives, while working with cutting-edge technology and industry-leading professionals. This full-time position offers competitive compensation, comprehensive benefits, and clear pathways for career advancement in the fast-paced financial services sector.
Responsibilities
- Analyze and interpret equity options market data to identify trends, anomalies, and trading opportunities
- Develop and maintain robust data models for options pricing, volatility analysis, and risk assessment
- Collaborate with trading teams to translate data insights into actionable trading strategies
- Create automated reporting dashboards to monitor options market activity and portfolio performance
- Conduct ad-hoc quantitative analysis to support strategic decision-making and product development
- Ensure data integrity through rigorous validation protocols and quality control measures
- Present complex findings to senior stakeholders through clear visualizations and executive summaries
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in equity options data analysis or quantitative finance role
- Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau, Power BI)
- Deep understanding of options pricing models (Black-Scholes, Binomial), Greeks, and volatility surfaces
- Experience with market data providers (Bloomberg, Refinitiv, or similar) and API integrations
- Strong statistical analysis skills with ability to design and execute hypothesis testing
- Excellent communication skills with ability to translate technical concepts for non-technical audiences
- Proven track record of developing automated data pipelines and reporting systems