Job Description
Join our dynamic finance team as an Entry-Level Equity Options Data Analyst! You'll be at the forefront of financial innovation, transforming complex options market data into actionable insights for institutional clients. This role offers unparalleled exposure to derivative instruments, quantitative modeling, and high-frequency trading environments. Our collaborative culture combines rigorous financial analysis with cutting-edge data science techniques. You'll work alongside seasoned quants and traders while building foundational expertise in options valuation, volatility surfaces, and risk metrics. We provide comprehensive training on our proprietary analytics platform and mentorship from industry veterans. This is your launchpad into the high-stakes world of financial data science.
Responsibilities
- Analyze equity options market data to identify trading patterns and arbitrage opportunities
- Develop automated scripts for options pricing models (Black-Scholes, Binomial)
- Create interactive dashboards visualizing volatility surfaces and Greeks metrics
- Collaborate with trading teams to validate data integrity and support real-time decisions
- Monitor options chain anomalies and market structure shifts
- Assist in backtesting quantitative strategies using historical options data
- Document methodologies and maintain data quality standards
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or related quantitative field
- Proficiency in Python (Pandas, NumPy) and SQL for data manipulation
- Basic understanding of options concepts (calls/puts, moneyness, expiration)
- Experience with visualization tools (Tableau, Power BI, or Matplotlib)
- Familiarity with statistical analysis and hypothesis testing
- Strong problem-solving skills with attention to detail
- Ability to work in fast-paced, deadline-driven environments
- 1-2 years of data analysis experience or relevant internship