Job Description
The Opportunity: We are seeking a highly analytical and driven Equity Options Data Analyst to join our elite trading and research division in Los Angeles. In this pivotal role, you will bridge the gap between raw market data and actionable trading intelligence. You will be responsible for building robust data pipelines, analyzing complex options flow, and developing models that provide a competitive edge in the equity derivatives market.
Why Join Us?
- Impactful Work: Directly influence trading strategies and risk management protocols.
- Modern Tech Stack: Work with cutting-edge big data technologies and real-time streaming data.
- Competitive Compensation: Top-tier salary plus performance bonuses.
Key Responsibilities:
- Analyze vast datasets of equity options trades to identify liquidity patterns, arbitrage opportunities, and market sentiment shifts.
- Design, develop, and maintain scalable data pipelines to ingest and process high-frequency market data from multiple exchanges.
- Create interactive visualizations and dashboards (Tableau, PowerBI) to communicate complex data insights to senior traders and portfolio managers.
- Conduct backtesting of quantitative trading strategies using historical equity options data.
- Collaborate with cross-functional teams to optimize order execution and reduce market impact.
- Monitor real-time market volatility and ensure data integrity across all systems.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Finance, or a related quantitative field.
- 3+ years of experience in data analysis, preferably within the financial services, fintech, or equity derivatives sector.
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Deep understanding of options pricing models (Black-Scholes, Binomial) and Greeks (Delta, Gamma, Vega, Theta).
- Familiarity with data visualization tools and large-scale data handling.
- Experience working with Bloomberg Terminal, Reuters Eikon, or similar financial data platforms is highly preferred.
- Excellent problem-solving skills and the ability to work in a fast-paced, high-pressure environment.
Responsibilities
- Analyze vast datasets of equity options trades to identify liquidity patterns, arbitrage opportunities, and market sentiment shifts.
- Design, develop, and maintain scalable data pipelines to ingest and process high-frequency market data from multiple exchanges.
- Create interactive visualizations and dashboards to communicate complex data insights to senior traders and portfolio managers.
- Conduct backtesting of quantitative trading strategies using historical equity options data.
- Collaborate with cross-functional teams to optimize order execution and reduce market impact.
- Monitor real-time market volatility and ensure data integrity across all systems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Finance, or a related quantitative field.
- 3+ years of experience in data analysis, preferably within the financial services, fintech, or equity derivatives sector.
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Deep understanding of options pricing models (Black-Scholes, Binomial) and Greeks (Delta, Gamma, Vega, Theta).
- Familiarity with data visualization tools and large-scale data handling.
- Experience working with Bloomberg Terminal, Reuters Eikon, or similar financial data platforms is highly preferred.
- Excellent problem-solving skills and the ability to work in a fast-paced, high-pressure environment.