Job Description
We are seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our quantitative trading team in Richmond, Virginia. In this pivotal role, you will bridge the gap between complex market data and actionable trading strategies. You will leverage your expertise in data manipulation and statistical modeling to support our proprietary options trading desks.
If you are passionate about financial markets, derivatives pricing, and building scalable data solutions, we want to hear from you.
Responsibilities
- Analyze High-Frequency Options Data: Process and interpret massive datasets from equity options markets to identify trends, anomalies, and pricing inefficiencies.
- Develop Pricing Models: Collaborate with quants to refine and validate Black-Scholes and Monte Carlo simulation models used for option valuation.
- Build Reporting Dashboards: Create interactive visualizations and automated reporting tools to track risk metrics, volatility surfaces, and P&L performance.
- Data Pipeline Optimization: Design and maintain ETL processes to ensure data integrity and real-time access for trading floor analysts.
- Conduct Market Research: Perform deep-dive analyses on implied volatility and greeks to support strategic decision-making.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or Finance; Master’s degree is a plus.
- Experience: 3+ years of experience in data analysis, financial data processing, or a related quantitative field.
- Technical Skills: Proficiency in Python (Pandas, NumPy) and SQL for data extraction and transformation.
- Domain Knowledge: Strong understanding of equity options, derivatives, and the options market structure.
- Tools: Experience with big data technologies (Spark, Hadoop) or visualization tools (Tableau, PowerBI) is highly desirable.