Job Description
Join our award-winning quantitative analytics team as a Senior Equity Options Data Analyst. You'll be instrumental in transforming complex market data into actionable insights that drive our proprietary trading strategies. This role sits at the intersection of finance, data science, and technology, offering unparalleled exposure to institutional derivatives markets. Collaborate with traders, quants, and engineers to build cutting-edge analytical frameworks that optimize options pricing models and risk management systems.
We offer a dynamic, growth-oriented environment with competitive compensation, comprehensive benefits, and opportunities for professional development in one of the world's most vibrant financial hubs.
Responsibilities
- Develop and maintain automated pipelines for real-time options market data ingestion and quality control
- Design advanced analytics to identify arbitrage opportunities, volatility surfaces, and pricing inefficiencies
- Create interactive dashboards and visualizations for options risk exposure and P&L attribution
- Collaborate with quantitative researchers to validate pricing models using historical backtesting
- Document analytical methodologies, data sources, and model limitations for compliance and audit purposes
- Mentor junior analysts on best practices in financial data engineering and statistical analysis
Qualifications
- Bachelor's degree in Finance, Statistics, Computer Science, Mathematics, or related field (Master's preferred)
- 3+ years of experience in options or derivatives data analysis at a financial institution or fintech
- Expert proficiency in SQL and Python (Pandas, NumPy, Scikit-learn)
- Strong understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo)
- Experience with market data APIs (Bloomberg, Refinitiv, or equivalent)
- Ability to translate complex financial concepts into technical requirements
- Experience with cloud platforms (AWS/GCP) and containerization technologies