Job Description
We are seeking a highly analytical Equity Options Data Analyst to join our elite trading team in Austin, TX. In this pivotal role, you will bridge the gap between complex financial data and actionable trading strategies. You will be responsible for mining vast datasets related to option chains, implied volatility, and market sentiment to identify high-probability trading opportunities. Your insights will directly impact our quantitative models and risk management protocols, ensuring we maintain a competitive edge in the dynamic options market.
As part of our innovative finance division, you will work with state-of-the-art technology and collaborate with top-tier quantitative researchers. If you have a passion for numbers, a deep understanding of financial derivatives, and a drive to derive value from data, we want to hear from you.
Responsibilities
- Develop and maintain advanced SQL queries and Python scripts to extract, clean, and process equity options data from multiple internal and external sources.
- Visualize complex financial metrics and market trends using Tableau or PowerBI to present actionable insights to senior traders and portfolio managers.
- Analyze historical option pricing data and implied volatility surfaces to identify market trends, anomalies, and arbitrage opportunities.
- Collaborate with the quantitative research team to refine pricing models, such as Black-Scholes and binomial trees, and optimize hedging strategies.
- Monitor real-time market data feeds to ensure accuracy, timeliness, and integrity of our data infrastructure.
- Document data pipelines and analytical processes to ensure scalability and reproducibility.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Finance, Computer Science, or a related quantitative field (Master’s preferred).
- 3+ years of experience in data analysis, specifically within the financial services, options trading, or quantitative finance sector.
- Strong proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) for data manipulation and statistical analysis.
- Deep understanding of options pricing models, Greeks (Delta, Gamma, Vega, Theta), and implied volatility concepts.
- Experience with data visualization tools such as Tableau or PowerBI.
- Excellent problem-solving skills and the ability to communicate complex data findings to non-technical stakeholders.