Job Description
Join Quantum Financial Analytics as our Equity Options Data Analyst and become the driving force behind our market intelligence engine. We're seeking a meticulous professional to transform complex financial data into actionable insights that shape our trading strategies. In this high-impact role, you'll collaborate with our quantitative research team to develop predictive models while maintaining rigorous data governance standards. Our Detroit hub offers competitive compensation, cutting-edge technology, and unparalleled career growth in the heart of the financial sector.
Responsibilities
- Analyze equity options market data using SQL, Python, and R to identify trading patterns
- Develop automated dashboards for real-time volatility surfaces and risk metrics
- Collaborate with quants to backtest options strategies and validate pricing models
- Ensure data integrity across Bloomberg, Refinitiv, and proprietary sources
- Present findings to executive stakeholders through compelling visualizations
- Document methodologies and maintain audit-ready data lineage
Qualifications
- Bachelor's degree in Finance, Statistics, Computer Science, or related field
- 3+ years of experience analyzing equity derivatives data
- Proficiency in SQL, Python (Pandas, NumPy), and visualization tools
- Deep understanding of options pricing models (Black-Scholes, Binomial)
- Familiarity with market data platforms (Bloomberg, Refinitiv)
- Certification in financial data analysis or derivatives preferred
- Strong attention to detail with zero-tolerance for data discrepancies