Job Description
We are seeking a highly analytical and detail-oriented Data Analyst to join our growing trading division. In this pivotal role, you will drive the quantitative analysis of equity options and derivatives markets. You will transform complex market data into actionable insights, directly supporting our trading strategies and risk management initiatives.
As a key member of our analytics team, you will leverage advanced statistical modeling and big data technologies to optimize our P&L. If you are passionate about the intersection of finance, data science, and technology, we want to hear from you.
Why Join Us?
- Competitive compensation package in the heart of San Francisco.
- Work with cutting-edge financial data and high-frequency trading systems.
- Collaborative culture focused on innovation and mentorship.
Responsibilities
- Market Analysis: Conduct in-depth analysis of equity options data, including implied volatility surfaces, open interest, and Greeks, to identify market inefficiencies.
- Data Engineering: Build and maintain robust ETL pipelines to process vast datasets from multiple exchanges and data vendors.
- Modeling & Strategy: Develop and backtest quantitative trading models using Python and R to evaluate potential equity option strategies.
- Visualization: Create interactive dashboards and reporting tools (e.g., Tableau, PowerBI) to visualize complex market trends and performance metrics for the trading floor.
- Risk Management: Assist in the calculation and monitoring of portfolio risk metrics, ensuring compliance with internal risk limits.
- Documentation: Maintain comprehensive documentation of data sources, methodologies, and analytical findings.
Qualifications
- Education: Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Experience: Minimum of 3-5 years of experience in financial data analysis, preferably within equity options or derivatives trading.
- Technical Skills: Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with financial data libraries.
- Financial Knowledge: Strong understanding of options pricing models (Black-Scholes, Binomial), market microstructure, and derivative instruments.
- Soft Skills: Excellent problem-solving abilities, attention to detail, and the ability to communicate complex data findings to non-technical stakeholders.