Job Description
We are seeking a detail-oriented and analytical Part-Time Equity Options Data Analyst to join our high-performance team in New York. In this role, you will bridge the gap between complex financial derivatives data and actionable trading insights. You will be responsible for maintaining the integrity of our options pricing database and generating reports that support our quantitative trading strategies.
Why Join Us?
Work with industry leaders in financial analytics, enjoy a flexible schedule, and gain hands-on experience with cutting-edge financial modeling tools.
Responsibilities
- Collect, clean, and validate large datasets of equity options trades and market data.
- Build and maintain SQL databases to store historical option chain information.
- Develop Python scripts to automate data extraction and reduce manual errors.
- Create dynamic visualizations (dashboards) to monitor volatility surfaces and Greeks.
- Collaborate with traders to identify data anomalies and market inefficiencies.
- Prepare weekly performance reports on options flow and liquidity.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- Strong proficiency in Python (Pandas, NumPy, Matplotlib) and SQL.
- Familiarity with options markets, specifically calls, puts, and exotic derivatives.
- Understanding of options pricing models (Black-Scholes, Binomial Trees, Monte Carlo).
- Excellent attention to detail and ability to work independently in a fast-paced environment.
- Experience with Bloomberg Terminal or similar financial data terminals is a plus.