Job Description
Join the Leaders in Derivative Analytics
Are you an analytical thinker with a passion for the derivatives market? Apex Quant Strategies is seeking a highly skilled Equity Options Data Analyst to join our elite team in the heart of New York City.
In this pivotal role, you will bridge the gap between raw market data and actionable trading intelligence. You will be responsible for interpreting complex option flow, monitoring volatility surfaces, and building robust data pipelines that support our quantitative trading desks. If you are driven by data and want to work at the forefront of financial technology, we want to hear from you.
Why Join Us?
- Work with cutting-edge financial data sources including Bloomberg, Refinitiv, and proprietary feeds.
- Collaborate with a team of PhDs and CFA charterholders.
- Competitive compensation and comprehensive benefits package.
- Hybrid work environment in the Financial District.
Responsibilities
Core Responsibilities
- Market Data Processing: Collect, clean, and normalize high-frequency equity options data to ensure accuracy for modeling purposes.
- Analytics & Modeling: Analyze open interest, volume, implied volatility (IV), and the Greeks (Delta, Gamma, Vega) to identify market trends and anomalies.
- Visualization: Design and maintain interactive dashboards using Tableau or PowerBI to provide real-time insights to traders and portfolio managers.
- Reporting: Generate weekly and monthly performance reports highlighting key risk metrics and option flow patterns.
- Data Pipeline Management: Optimize SQL queries and Python scripts to handle large datasets efficiently and reduce latency.
- Cross-Functional Collaboration: Partner with the trading desk to develop new strategies based on data-driven insights.
Qualifications
Qualifications
- Education: Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Economics, or a related quantitative field.
- Experience: Minimum of 2-4 years of experience in financial data analysis, specifically within equity options or derivatives.
- Technical Skills: Proficiency in SQL for complex querying and Python (Pandas, NumPy) for data manipulation.
- Tools: Familiarity with Bloomberg Terminal, Refinitiv Eikon, or similar market data terminals.
- Financial Knowledge: Strong understanding of options pricing models, the Black-Scholes framework, and market microstructure.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Location: Must be willing to work on-site in New York, NY.