Job Description
We are seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our dynamic team in Atlanta, GA. In this pivotal role, you will leverage your expertise in financial modeling and data analysis to drive strategic decision-making regarding derivative pricing and market volatility. We pride ourselves on providing a stable environment with weekly pay to ensure our team's financial well-being.
As a key member of our quantitative team, you will bridge the gap between complex financial data and actionable business insights. You will be responsible for maintaining our proprietary options pricing databases and ensuring data integrity across all platforms. This is a unique opportunity to work with cutting-edge financial technology and contribute to high-stakes market analysis.
Responsibilities
- Market Analysis: Analyze equity options chains and volatility surfaces to identify arbitrage opportunities and pricing discrepancies in real-time.
- Data Modeling: Develop and maintain quantitative models to predict option pricing movements and assess risk exposure for various portfolio scenarios.
- SQL & ETL: Extract, clean, and transform large datasets from multiple market data sources using SQL and Python to support algorithmic trading strategies.
- Visualization: Create interactive dashboards and reports using Tableau or PowerBI to visualize complex option strategies and performance metrics for stakeholders.
- Regulatory Compliance: Ensure all data handling processes adhere to relevant financial regulations and internal governance policies.
- Collaboration: Partner with trading desks and portfolio managers to provide data-driven recommendations on option hedging and strategy execution.
Qualifications
- Education: Bachelor’s degree in Mathematics, Finance, Statistics, or a related quantitative field.
- Experience: Minimum of 3-5 years of experience in financial data analysis, specifically within the options trading or derivatives market.
- Technical Skills: Proficiency in Python (Pandas, NumPy) and SQL for data manipulation and analysis. Experience with Excel (VBA, advanced formulas) is required.
- Financial Knowledge: Strong understanding of option pricing theories, Black-Scholes models, Greeks, and market mechanics.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders.