Job Description
We are seeking a detail-oriented Equity Options Data Analyst to join our elite trading analytics team. In this part-time role, you will bridge the gap between raw market data and actionable trading strategies. We are looking for a self-starter who thrives in a fast-paced environment and is passionate about the intricacies of derivatives markets.
Why Join Us?
This is a flexible, remote-first opportunity that allows you to work from the comfort of your home in New York City or Seattle, WA. You will gain exposure to high-frequency trading data, sophisticated modeling tools, and a collaborative culture that values analytical rigor.
Responsibilities
- Analyze large datasets of equity options chains to identify pricing discrepancies and market inefficiencies.
- Develop and maintain automated scripts (Python/R) to cleanse and normalize incoming trade data.
- Build interactive dashboards (Tableau/PowerBI) to visualize volatility surfaces and Greeks for senior traders.
- Collaborate with the quantitative research team to backtest option strategies based on historical data.
- Monitor real-time market events to provide timely data insights and alerts.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, or a related field.
- Proven experience with Python (Pandas, NumPy) and SQL for data manipulation.
- Strong understanding of options pricing models (Black-Scholes, Binomial) and market terminology.
- Familiarity with financial data APIs (e.g., Bloomberg, Refinitiv) is a plus.
- Excellent analytical thinking and problem-solving skills with a keen eye for detail.