Job Description
About the Role:
We are seeking a highly analytical Equity Options Data Analyst to join our elite trading and analytics team in Tampa, Florida. In this pivotal role, you will bridge the gap between raw market data and actionable trading strategies. You will be responsible for maintaining our data infrastructure, performing complex statistical analyses on options pricing, and delivering real-time insights to senior traders.
Join a company that values precision, innovation, and market expertise. We offer a competitive compensation package and a collaborative environment where your analytical skills will directly impact financial outcomes.
Why Join Us?
- Immediate Hire Opportunity
- Competitive Base Salary ($90k - $145k)
- Comprehensive Health Benefits
- Professional Development in Financial Analytics
Responsibilities
- Design, develop, and maintain ETL pipelines to ingest and clean large volumes of equity options data from various exchanges (CBOE, NYSE, NASDAQ).
- Perform deep-dive analysis on implied volatility surfaces, open interest trends, and greeks to support trading decision-making.
- Build and optimize interactive dashboards using Python and visualization tools to visualize complex market data for stakeholders.
- Identify market anomalies and potential arbitrage opportunities through quantitative modeling and data mining.
- Collaborate with quantitative researchers to refine pricing models and backtesting frameworks.
- Ensure data integrity, accuracy, and consistency across all analytical platforms.
- Document data processes and analytical methodologies for team knowledge sharing.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of experience in data analysis, specifically within the financial services or derivatives trading sector.
- Strong proficiency in Python (Pandas, NumPy, SciPy) and SQL.
- Deep understanding of options pricing models (Black-Scholes, Binomial) and market terminology.
- Experience with big data technologies (Hadoop, Spark) is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced, deadline-driven environment.
- Strong communication skills, with the ability to explain complex data concepts to non-technical stakeholders.