Job Description
Join our dynamic finance team as a part-time Equity Options Data Analyst. This role offers flexible hours while allowing you to work with cutting-edge financial data and analytics in the heart of New York's financial district. You'll collaborate with seasoned traders and quants to drive data-driven decisions in the fast-paced options market.
We provide competitive compensation, remote work flexibility, and opportunities for professional growth in a collaborative environment. Ideal for finance professionals seeking part-time engagement without compromising impact.
Responsibilities
- Analyze equity options pricing models and market data using SQL, Python, and R
- Develop automated dashboards for volatility surfaces and risk metrics
- Validate and clean options chain data from multiple exchanges
- Support quantitative research teams with ad-hoc data analysis
- Create visualizations for P&L attribution and Greeks analysis
- Monitor market events affecting options pricing and implied volatility
- Document data sources, methodologies, and analytical workflows
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related field
- 2+ years of experience in equity options analysis or quantitative finance
- Proficiency in SQL for large-scale data extraction and manipulation
- Advanced skills in Python (Pandas, NumPy) or R for statistical modeling
- Familiarity with options pricing models (Black-Scholes, Binomial)
- Experience with financial APIs (Bloomberg, Refinitiv, Quandl)
- Strong attention to detail and ability to work with complex datasets