Job Description
We are seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our dynamic team in Atlanta, Georgia. As a key player in our financial modeling division, you will leverage your expertise in derivatives markets to drive actionable insights and optimize trading strategies. If you are looking for a challenging role with immediate impact, apply today.
Why Join Us?
- Competitive salary and performance bonuses.
- Work with cutting-edge financial data and analytics tools.
- Collaborative and fast-paced environment.
Key Responsibilities:
- Analyze large-scale equity options data sets to identify trends, pricing anomalies, and arbitrage opportunities.
- Develop and maintain automated dashboards and reporting tools using Python, SQL, and visualization libraries.
- Collaborate with quantitative researchers and traders to refine pricing models and risk assessment frameworks.
- Monitor market volatility and volatility surfaces to provide real-time insights for decision-making.
- Perform stress testing and scenario analysis on option portfolios to ensure risk compliance.
- Document complex data methodologies and present findings to senior leadership.
Qualifications:
- Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of experience in data analysis, preferably within the equity options or derivatives market.
- Strong proficiency in Python (Pandas, NumPy), R, or SQL.
- Deep understanding of options pricing models (Black-Scholes), Greeks, and market microstructure.
- Experience with Bloomberg Terminal or similar financial data terminals.
- Excellent problem-solving skills and ability to work in a high-pressure, deadline-driven environment.
Responsibilities
- Analyze large-scale equity options data sets to identify trends, pricing anomalies, and arbitrage opportunities.
- Develop and maintain automated dashboards and reporting tools using Python, SQL, and visualization libraries.
- Collaborate with quantitative researchers and traders to refine pricing models and risk assessment frameworks.
- Monitor market volatility and volatility surfaces to provide real-time insights for decision-making.
- Perform stress testing and scenario analysis on option portfolios to ensure risk compliance.
- Document complex data methodologies and present findings to senior leadership.
Qualifications
- Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of experience in data analysis, preferably within the equity options or derivatives market.
- Strong proficiency in Python (Pandas, NumPy), R, or SQL.
- Deep understanding of options pricing models (Black-Scholes), Greeks, and market microstructure.
- Experience with Bloomberg Terminal or similar financial data terminals.
- Excellent problem-solving skills and ability to work in a high-pressure, deadline-driven environment.