Job Description
Join our award-winning quantitative team at Nexus Financial Analytics, a global leader in derivatives analytics. We're seeking a meticulous Equity Options Data Analyst to transform complex market data into actionable insights for institutional clients. In this high-impact role, you'll collaborate with traders and quants to validate option pricing models and develop cutting-edge risk management frameworks. Our Indianapolis hub offers hybrid work arrangements, competitive benefits, and career advancement opportunities in the heart of the Midwest's financial sector.
Responsibilities
- Analyze and reconcile complex equity options datasets from multiple sources including broker feeds and proprietary platforms
- Develop and maintain SQL-based data pipelines for options pricing and volatility surfaces
- Validate Black-Scholes and binomial tree models against market data with Python/R
- Create interactive Tableau dashboards for P&L attribution and risk exposure analysis
- Collaborate with quantitative researchers to calibrate volatility surfaces and dividend models
- Document data methodologies and maintain data quality frameworks (DQF)
- Present findings to cross-functional stakeholders including trading desks and risk management
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or Computer Science (MS/MBA preferred)
- 3+ years of experience in equity derivatives data analysis or quantitative operations
- Expert proficiency in SQL and Python (Pandas, NumPy) with R a plus
- Deep understanding of options pricing models (Black-Scholes, Binomial Trees)
- Experience with data visualization tools (Tableau, Power BI) and statistical analysis
- Familiarity with options market conventions and exchange trading rules
- Strong problem-solving skills with attention to detail for complex datasets