Job Description
We are seeking a highly analytical and driven Data Analyst with deep expertise in Equity Options trading strategies to join our dynamic team. In this role, you will bridge the gap between complex financial data and actionable insights, utilizing advanced data modeling to support our trading desk.
As a key player in our quantitative research division, you will be responsible for uncovering market inefficiencies and optimizing our options pricing models. We offer a competitive benefits package and the flexibility of a remote-first work environment for qualified candidates.
Responsibilities
- Conduct in-depth analysis of historical and real-time equity options data to identify trends, patterns, and arbitrage opportunities.
- Develop and maintain statistical models to forecast implied volatility and price movements.
- Collaborate with senior traders and quants to translate complex financial concepts into clear, data-driven visualizations.
- Build automated reporting pipelines using Python and SQL to reduce manual data entry and increase efficiency.
- Monitor market conditions and perform stress testing on our option portfolios.
- Present findings to stakeholders through compelling dashboards and presentations.
Qualifications
- Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- 3+ years of experience as a Data Analyst or Financial Analyst, specifically within the options trading or derivatives market.
- Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Strong understanding of options pricing models (Black-Scholes, Binomial) and market microstructure.
- 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, high-pressure environment.