Job Description
Join a Premier Financial Institution
We are seeking a detail-oriented and analytical Equity Options Data Analyst to join our elite team in New York City. In this part-time role, you will play a critical role in interpreting complex market data, supporting our trading floor with actionable insights, and maintaining the integrity of our proprietary option pricing models.
As a key member of our data team, you will leverage your technical skills to uncover trends in volatility, open interest, and implied volatility surfaces, directly impacting our trading strategies.
Why Apply?
- Work with cutting-edge financial data.
- Flexible part-time schedule allowing for work-life balance.
- Competitive hourly rate commensurate with experience.
- Collaborative environment in the heart of Manhattan.
Responsibilities
- Data Processing & Cleaning: Extract, clean, and normalize large datasets from various equity option exchanges to ensure high data quality for analysis.
- Option Chain Analysis: Monitor and analyze daily option chains to identify unusual activity, liquidity patterns, and potential arbitrage opportunities.
- Model Support: Assist quantitative researchers in backtesting option pricing models (e.g., Black-Scholes, Binomial) using real-time market data.
- Visualization: Develop and maintain dynamic dashboards (using Tableau or PowerBI) to visualize Greeks, volume, and open interest trends for stakeholders.
- Reporting: Generate weekly and monthly performance reports highlighting key market movements and data anomalies.
- Database Management: Collaborate with the engineering team to optimize SQL queries and data storage structures for faster retrieval of derivative data.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Technical Skills: Strong proficiency in Python or R for data manipulation (Pandas, NumPy) and SQL for database queries.
- Financial Knowledge: Solid understanding of equity options, derivatives, market mechanics, and the Greeks (Delta, Gamma, Vega, Theta, Rho).
- Experience: Prior experience in a financial data role or internship is highly preferred.
- Tools: Familiarity with Bloomberg Terminal, Refinitiv Eikon, or similar financial data terminals is a plus.
- Attention to Detail: Ability to spot subtle data errors and discrepancies in complex datasets.