Job Description
Are you an analytical powerhouse ready to lead the way in financial data?
Apex Derivatives Analytics is seeking a highly skilled Equity Options Data Analyst to join our elite team in Indianapolis. In this role, you will bridge the gap between complex financial markets and actionable data insights, driving strategic decisions for our high-frequency trading division.
We are looking for a professional who thrives in a fast-paced environment and possesses a deep understanding of equity options pricing, volatility surfaces, and market flow analysis. This is an Immediate Hire opportunity for a dedicated individual ready to make a significant impact.
Why Join Us?
- Competitive Compensation: Base salary ranging from $95,000 to $135,000, depending on experience.
- Modern Environment: Work with cutting-edge data technologies and methodologies.
- Strategic Impact: Directly influence trading strategies through high-level data analysis.
Responsibilities
- Market Data Analysis: Monitor and analyze real-time equity options flow to identify arbitrage opportunities and market inefficiencies.
- Pricing Modeling: Develop, maintain, and refine statistical models used to price equity options and assess risk exposure.
- Data Visualization: Create dynamic dashboards and reports using SQL, Python, and visualization tools (Tableau/PowerBI) to present complex data to stakeholders.
- Database Management: Ensure the integrity and accuracy of large-scale datasets by performing ETL processes and data cleaning.
- Strategy Optimization: Collaborate with trading desks to refine algorithms based on quantitative analysis of historical and real-time data.
- Compliance & Reporting: Generate compliance reports and ensure all data handling processes adhere to regulatory standards.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- Experience: Minimum of 3-5 years of experience in financial data analysis, specifically within equity options or derivatives.
- Technical Skills: Proficiency in SQL (Advanced), Python (Pandas, NumPy), and R.
- Financial Knowledge: Strong understanding of option pricing theories (Black-Scholes, Binomial models), Greeks, and volatility surface analysis.
- Tools: Experience with data warehousing (Snowflake, Redshift) and BI tools is highly preferred.
- Problem Solving: Ability to deconstruct complex problems and derive logical, data-driven solutions.