Job Description
We are looking for a highly analytical Equity Options Data Analyst to join our quantitative trading division in Houston, Texas. In this role, you will be responsible for managing the data infrastructure that drives our options trading strategies. You will bridge the gap between raw market data and actionable trading insights, ensuring our risk management and pricing models are built on a foundation of clean, accurate data.
If you have a passion for financial derivatives, volatility analysis, and building scalable data solutions, we want to hear from you.
Responsibilities
- Data Processing: Gather, clean, and transform large volumes of equity options data from various sources, including exchanges and dark pools, into a structured format for analysis.
- Analytics & Modeling: Assist in developing and maintaining quantitative models for options pricing, Greeks calculation, and volatility surface analysis.
- Dashboarding: Build and maintain interactive dashboards (e.g., Tableau, PowerBI) to visualize options flow, open interest, and implied volatility trends for the trading desk.
- Risk Management: Monitor and report on potential risks associated with options positions, including gamma risk, delta hedging, and tail risk exposure.
- Backtesting: Conduct rigorous backtesting of trading strategies using historical options data to validate performance and refine parameters.
- Reporting: Generate daily, weekly, and monthly performance reports for senior management, highlighting key market insights and anomalies.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Experience: 3+ years of experience in data analysis, preferably within the financial services, equity derivatives, or options trading sector.
- Technical Skills: Proficiency in SQL for data extraction; strong scripting skills in Python or R; experience with data visualization tools.
- Financial Knowledge: Deep understanding of equity options mechanics, the Black-Scholes model, and market terminology (IV, Delta, Gamma, Theta, Vega).
- Attention to Detail: Exceptional analytical skills with a keen eye for data integrity and error detection in complex datasets.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.