Job Description
Are you a data-driven professional with a passion for the financial markets?
Apex Quantitative Strategies is seeking a highly skilled Equity Options Data Analyst to join our elite team. Based in the heart of Atlanta, GA, we are a forward-thinking firm that leverages cutting-edge data analytics to navigate the complexities of the derivatives market. We offer a remote-first culture with flexibility for candidates residing in North Carolina and beyond.
In this role, you will bridge the gap between complex financial data and actionable business intelligence. You will work closely with our trading desk and quantitative researchers to model risk, analyze volatility surfaces, and build tools that drive profitability.
Why Join Us?
- Competitive Compensation: Salary range of $95,000 - $145,000 depending on experience.
- Flexible Work Environment: Fully remote options with a base in Atlanta, GA (North Carolina candidates welcome).
- Professional Growth: Access to advanced training in financial modeling and big data technologies.
Responsibilities
- Market Analysis: Analyze large-scale datasets of equity option trades to identify pricing anomalies, arbitrage opportunities, and market trends.
- Modeling & Risk: Develop and maintain statistical models to assess risk exposure, implied volatility, and greeks for various equity derivatives.
- Dashboard Creation: Design and develop interactive, real-time dashboards using Tableau or Power BI to visualize complex option chains and performance metrics.
- Data Engineering: Clean, transform, and integrate data from multiple sources using Python, SQL, and ETL tools to ensure data integrity.
- Collaboration: Partner with traders and quants to translate technical data insights into clear business recommendations.
- Reporting: Generate comprehensive weekly and monthly reports for senior leadership regarding market performance and data quality.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field (Master’s preferred).
- Experience: Minimum of 3-5 years of experience in data analysis, specifically within the financial services or derivatives sector.
- Technical Skills: Proficiency in Python (Pandas, NumPy) and SQL; experience with visualization tools like Tableau or Power BI.
- Financial Knowledge: Strong understanding of equity options, pricing models (e.g., Black-Scholes), volatility surfaces, and greeks.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Location: Must be based in the United States, with a preference for candidates in Georgia or North Carolina, or willing to work fully remote.