Job Description
We are a leading quantitative finance firm seeking a detail-oriented Equity Options Data Analyst to join our Raleigh, NC team. In this role, you will be responsible for the extraction, validation, and analysis of complex equity derivatives data to drive strategic trading decisions. We offer an immediate hire opportunity for a self-motivated professional looking to make a significant impact in a high-performance environment.
As part of our dynamic team, you will work with cutting-edge financial models and large datasets, ensuring data integrity and providing actionable insights to senior management. If you have a passion for financial markets and possess strong technical skills, we want to hear from you.
Responsibilities
- Develop and maintain robust data pipelines for equity options pricing, volume, and open interest data.
- Perform deep-dive analysis on option chain data to identify market trends, volatility skew, and arbitrage opportunities.
- Collaborate with the trading desk to generate daily, weekly, and monthly performance reports.
- Validate data inputs from multiple exchanges to ensure 99.9% accuracy in reporting.
- Build automated dashboards using Python/R to visualize complex financial metrics.
- Conduct backtesting of new trading strategies using historical options data.
- Document data governance policies and ensure compliance with financial regulations.
Qualifications
- Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of experience in financial data analysis, specifically within equity options or derivatives.
- Proficiency in Python (Pandas, NumPy) or R for data manipulation and analysis.
- Strong SQL skills for querying large databases and extracting datasets.
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo) and Greeks.
- Experience with data visualization tools such as Tableau, PowerBI, or D3.js.
- Excellent problem-solving skills and the ability to work in a fast-paced, deadline-driven environment.