Job Description
Join our cutting-edge finance team as an Equity Options Data Analyst and transform complex financial data into actionable insights. We're seeking a detail-oriented professional to drive our quantitative trading strategies through advanced data modeling and market analysis. This role offers the opportunity to work with proprietary datasets and collaborate with senior traders in a dynamic, fast-paced environment.
Our ideal candidate thrives in ambiguity and possesses a deep understanding of equity derivatives markets. You'll be instrumental in developing analytical frameworks that optimize portfolio performance and mitigate risk. We offer competitive compensation, comprehensive benefits, and a commitment to professional growth.
Responsibilities
- Analyze and interpret large-scale equity options data to identify market trends and trading opportunities
- Develop and maintain quantitative models for volatility surfaces and option pricing
- Collaborate with traders to design backtesting frameworks for derivative strategies
- Create automated reports and dashboards monitoring portfolio risk metrics
- Conduct ad-hoc analysis to support strategic initiatives and regulatory compliance
- Optimize data pipelines for real-time options market data processing
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or related field (Master's preferred)
- 3+ years of experience in equity derivatives data analysis or quantitative finance
- Advanced proficiency in SQL and Python (Pandas, NumPy, Scikit-learn)
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo)
- Experience with financial data platforms (Bloomberg, Refinitiv, or similar)
- Strong statistical analysis and machine learning application skills
- Ability to communicate complex findings to non-technical stakeholders