Job Description
Join the elite team at Apex Quant Strategies as we redefine the landscape of equity options analytics. Based in the vibrant heart of Oakland, CA, we are seeking a highly analytical and detail-oriented Senior Equity Options Data Analyst to bridge the gap between complex financial data and actionable trading intelligence.
In this pivotal role, you will leverage cutting-edge data science techniques to decode market volatility, model complex derivative pricing structures, and empower our traders with real-time insights. If you are passionate about the nuances of the options market and thrive in a fast-paced, data-driven environment, we want to meet you.
Why Join Us?
- Work with state-of-the-art financial data feeds.
- Collaborate with top-tier quantitative researchers and traders.
- Competitive compensation and comprehensive benefits in Oakland.
Key Responsibilities:
- Design and implement robust quantitative models to analyze equity options pricing and volatility surfaces.
- Process and clean massive datasets from various market data vendors to ensure data integrity for trading strategies.
- Develop interactive dashboards (using tools like Tableau or PowerBI) to visualize Greeks, open interest, and implied volatility trends.
- Conduct deep-dive statistical analysis on option chain data to identify arbitrage opportunities and market anomalies.
- Partner with the trading desk to provide real-time analytics support during high-volatility market events.
- Maintain and optimize ETL pipelines for the options market data warehouse.
Qualifications:
- Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or a related quantitative field (Master’s degree preferred).
- 3+ years of professional experience in options trading, market data analysis, or financial modeling.
- Strong proficiency in Python (Pandas, NumPy) or R for statistical analysis.
- Expertise in SQL for querying large-scale financial databases.
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo simulations).
- Excellent communication skills with the ability to translate complex data findings into clear business insights.
Responsibilities
- Design and implement robust quantitative models to analyze equity options pricing and volatility surfaces.
- Process and clean massive datasets from various market data vendors to ensure data integrity for trading strategies.
- Develop interactive dashboards (using tools like Tableau or PowerBI) to visualize Greeks, open interest, and implied volatility trends.
- Conduct deep-dive statistical analysis on option chain data to identify arbitrage opportunities and market anomalies.
- Partner with the trading desk to provide real-time analytics support during high-volatility market events.
- Maintain and optimize ETL pipelines for the options market data warehouse.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or a related quantitative field (Master’s degree preferred).
- 3+ years of professional experience in options trading, market data analysis, or financial modeling.
- Strong proficiency in Python (Pandas, NumPy) or R for statistical analysis.
- Expertise in SQL for querying large-scale financial databases.
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo simulations).
- Excellent communication skills with the ability to translate complex data findings into clear business insights.