Job Description
We are a premier quantitative trading firm seeking a highly analytical Equity Options Data Analyst to join our Houston-based team. In this pivotal role, you will bridge the gap between complex market data and actionable trading strategies. You will be responsible for designing data pipelines, validating pricing models, and providing critical insights that drive our equity options desk. If you are passionate about financial markets and possess a knack for data integrity, we want to hear from you.
Why Join Us?
- Competitive compensation package with performance bonuses.
- State-of-the-art trading floor and analytics environment.
- Opportunity to work with cutting-edge financial technology.
Responsibilities
- Market Data Processing: Extract, clean, and transform large volumes of equity options data from multiple exchanges using SQL and Python.
- Model Validation: Assist in the development and backtesting of option pricing models (e.g., Black-Scholes, Binomial) to ensure accuracy and efficiency.
- Risk Analysis: Monitor and analyze risk metrics such as Greeks (Delta, Gamma, Theta, Vega) to support trading decisions.
- Reporting & Visualization: Develop interactive dashboards and automated reports to visualize market trends and data anomalies.
- Data Integrity: Establish and maintain rigorous data quality standards to prevent trading errors.
- Collaboration: Work closely with quants and traders to understand data requirements and optimize data workflows.
Qualifications
- Education: Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field.
- Experience: 3+ years of experience in data analysis, specifically within the financial services or options trading sector.
- Technical Skills: Proficiency in SQL (PostgreSQL/MySQL) and Python (Pandas, NumPy, Scikit-learn).
- Financial Knowledge: Strong understanding of equity options, derivatives, and financial markets.
- Tools: Experience with data visualization tools like Tableau, PowerBI, or D3.js is highly preferred.
- Soft Skills: Exceptional attention to detail, strong problem-solving abilities, and excellent communication skills.