Job Description
Job Overview
We are seeking a highly analytical Equity Options Data Analyst to drive our financial intelligence initiatives. In this role, you will bridge the gap between complex financial data and actionable business insights, playing a critical role in our trading strategy and risk management teams. This is an immediate hire opportunity for a detail-oriented professional ready to make an impact.
Key Responsibilities
- Extract, clean, and analyze large volumes of equity options data using SQL and Python to support real-time trading decisions.
- Develop and maintain interactive dashboards (Tableau/PowerBI) to visualize option chain metrics, implied volatility surfaces, and open interest trends.
- Collaborate with quantitative researchers to model risk and return scenarios for equity derivatives and complex structured products.
- Identify and report on market anomalies, pricing inefficiencies, and emerging trading opportunities based on deep data analysis.
- Ensure data accuracy and integrity across all financial reporting systems and databases.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- 3+ years of experience in data analysis, specifically within the financial services or equity derivatives sector.
- Proficiency in SQL for data extraction and manipulation; experience with Python (Pandas/NumPy) or R for statistical analysis.
- Strong understanding of financial concepts, including options pricing models (Black-Scholes), Greeks, and implied volatility.
- Excellent communication skills, capable of translating complex data into clear, concise business recommendations for stakeholders.
Responsibilities
- Extract, clean, and analyze large volumes of equity options data using SQL and Python to support real-time trading decisions.
- Develop and maintain interactive dashboards (Tableau/PowerBI) to visualize option chain metrics, implied volatility surfaces, and open interest trends.
- Collaborate with quantitative researchers to model risk and return scenarios for equity derivatives and complex structured products.
- Identify and report on market anomalies, pricing inefficiencies, and emerging trading opportunities based on deep data analysis.
- Ensure data accuracy and integrity across all financial reporting systems and databases.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- 3+ years of experience in data analysis, specifically within the financial services or equity derivatives sector.
- Proficiency in SQL for data extraction and manipulation; experience with Python (Pandas/NumPy) or R for statistical analysis.
- Strong understanding of financial concepts, including options pricing models (Black-Scholes), Greeks, and implied volatility.
- Excellent communication skills, capable of translating complex data into clear, concise business recommendations for stakeholders.