Job Description
Are you a data-savvy finance professional looking to make a significant impact in the high-stakes world of equity derivatives? At EquityMetrics Solutions, we are seeking a talented Equity Options Data Analyst to join our dynamic team in Tucson, Arizona.
You will be at the forefront of translating complex market data into actionable trading strategies. We value precision, analytical rigor, and innovative problem-solving. If you are ready to leverage your expertise in options analytics to drive business intelligence, we want to hear from you.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Work in a collaborative environment with industry-leading experts.
- Opportunity to work with cutting-edge financial data technologies.
Responsibilities
- Conduct in-depth analysis of equity options chains, including open interest, volume, implied volatility, and Greeks to identify market trends.
- Develop and maintain complex SQL queries and Python/R scripts to extract, clean, and aggregate large datasets from multiple market data sources.
- Collaborate with quantitative researchers and traders to validate pricing models and uncover arbitrage opportunities.
- Design and deploy interactive, high-performance dashboards (Tableau, Power BI, or custom) to visualize market risk and performance metrics for stakeholders.
- Monitor market anomalies and provide real-time insights to the trading desk to mitigate risk and optimize execution.
- Ensure data integrity, accuracy, and consistency across all reporting systems and databases.
Qualifications
- Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or a related field (Master’s preferred).
- 3+ years of professional experience in data analysis within the financial sector, specifically focusing on options trading, derivatives, or market data.
- Strong proficiency in SQL (PostgreSQL, MySQL) and programming languages such as Python (Pandas, NumPy) or R.
- Deep understanding of financial instruments, specifically equity options, Black-Scholes models, and market microstructure.
- Excellent communication skills with the ability to explain complex data findings to non-technical stakeholders.
- Experience with data visualization tools and big data technologies is highly preferred.