Job Description
We are seeking a highly analytical Equity Options Data Analyst to join our growing team in Omaha, Nebraska. In this pivotal role, you will bridge the gap between complex financial derivatives and actionable business intelligence. You will be responsible for modeling volatility surfaces, analyzing market data, and providing critical insights to our trading and risk management desks.
As a key member of our analytics team, you will utilize cutting-edge data science methodologies to optimize our option trading strategies and enhance risk mitigation protocols. If you have a passion for quantitative finance and possess a keen eye for data patterns, we want to hear from you.
Responsibilities
- Develop and maintain quantitative models to analyze equity option pricing, Greeks, and volatility trends.
- Collect, clean, and integrate large datasets from various market data providers into centralized data warehouses.
- Design and deploy interactive dashboards (Tableau/PowerBI) to visualize trading performance and risk exposures.
- Collaborate with senior traders and risk managers to identify opportunities for arbitrage and hedging efficiency.
- Conduct statistical analysis on market movements to forecast short-term price volatility.
- Automate reporting processes to ensure timely delivery of daily, weekly, and monthly performance metrics.
- Document methodologies and data governance policies to ensure compliance with SEC regulations.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or a related quantitative field; Master’s degree preferred.
- 3-5 years of experience in financial data analysis, specifically within options trading or derivatives.
- Proficiency in Python (Pandas, NumPy, Scikit-learn) or R for statistical modeling and data manipulation.
- Strong working knowledge of SQL for database querying and management.
- Experience with derivatives pricing models, such as Black-Scholes or Monte Carlo simulations, is highly desirable.
- Excellent problem-solving skills with the ability to translate complex financial concepts into clear data narratives.
- Strong attention to detail and the ability to work in a fast-paced, deadline-driven environment.