Job Description
We are seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our dynamic team in Tucson, Arizona. In this pivotal role, you will bridge the gap between complex financial data and actionable trading strategies. You will be responsible for aggregating, processing, and analyzing massive datasets related to equity options to support our quantitative trading desk.
As a key member of our analytics team, you will build robust data pipelines and interactive dashboards that provide real-time insights into market volatility, option flow, and Greeks. If you have a passion for finance, data science, and building scalable solutions, we want to hear from you.
Why Join Us?
- Work with cutting-edge financial instruments and high-frequency data.
- Competitive compensation and comprehensive benefits package.
- Collaborative environment with opportunities for professional growth.
Responsibilities
- Data Acquisition & Cleaning: Collect and clean large volumes of equity options trade data from various exchanges and internal systems to ensure accuracy and consistency.
- Analytics & Modeling: Perform deep-dive analysis on option pricing models, identifying trends in call/put volume, open interest, and implied volatility.
- Dashboard Development: Design and maintain interactive visualizations using Tableau or Power BI to present complex data to traders and stakeholders.
- Reporting: Generate daily, weekly, and monthly reports summarizing market movements and option activity for the trading floor.
- Performance Optimization: Optimize SQL queries and Python scripts to improve data processing speeds and reduce latency.
- Collaboration: Partner with quantitative researchers and software engineers to enhance data infrastructure and tooling.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field. Master’s degree is a plus.
- Experience: 3+ years of experience in data analysis, preferably within the financial services or options trading sector.
- Technical Skills: Proficiency in Python (Pandas, NumPy) and SQL for data manipulation and querying.
- Tools: Strong experience with data visualization tools (Tableau, Looker, or Power BI).
- Financial Knowledge: Solid understanding of equity options markets, including calls, puts, strikes, expirations, and the Greeks (Delta, Gamma, Vega, Theta).
- Problem Solving: Ability to troubleshoot complex data issues and derive meaningful insights from unstructured or messy data.