Job Description
DerivTech Solutions is seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our growing finance team in Columbus, Ohio. In this pivotal role, you will bridge the gap between complex equity options data and actionable trading strategies. You will be responsible for gathering, cleaning, and analyzing vast datasets to identify market trends, volatility patterns, and pricing anomalies.
We are looking for a candidate who thrives in a fast-paced environment and possesses a strong understanding of financial derivatives. If you have a passion for data science and finance, we want to hear from you.
Responsibilities
- Develop and maintain complex data models to track equity option pricing, implied volatility, and Greeks across various market conditions.
- Design interactive dashboards and visualizations using tools like Tableau or Power BI to provide real-time insights to the trading desk and management.
- Perform deep-dive analysis on historical data to identify patterns and predict future market movements.
- Collaborate with quantitative researchers to refine trading algorithms and risk management protocols.
- Ensure data integrity and accuracy by conducting rigorous quality checks and automating data pipelines.
- Prepare regular reports and presentations summarizing market analysis for internal stakeholders.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of experience in data analysis, preferably within the financial services, derivatives, or options trading sector.
- Proficiency in programming languages such as Python (Pandas, NumPy) or SQL for data manipulation.
- Strong understanding of equity options mechanics, including calls, puts, spreads, and volatility skew.
- Experience with data visualization tools like Tableau, Qlik, or Power BI.
- Excellent analytical skills with the ability to interpret complex datasets and communicate findings clearly.