Job Description
Join our elite quantitative team as an Equity Options Data Analyst and transform complex financial data into actionable insights. This weekend shift opportunity (Sat-Sun) combines remote flexibility with occasional in-person collaboration at our Boston headquarters. You'll drive data-driven decisions for our options trading desk while enjoying premium compensation and cutting-edge tools.
We're seeking a detail-oriented professional to maintain data integrity, build predictive models, and support high-stakes trading operations. Your work will directly impact our $2B+ options portfolio. Enjoy competitive benefits, professional development stipends, and a culture that values analytical excellence.
Responsibilities
- Analyze and interpret equity options market data using SQL, Python, and proprietary platforms
- Develop automated data pipelines for real-time options pricing models
- Collaborate with quants to validate trading strategies through historical backtesting
- Monitor volatility surfaces and identify arbitrage opportunities
- Create executive dashboards highlighting key risk metrics and P&L drivers
- Document data anomalies and implement corrective protocols
- Support weekend trading operations with real-time data support
Qualifications
- Bachelor's degree in Finance, Statistics, Computer Science, or related field
- 3+ years experience in financial data analysis (equity options preferred)
- Advanced proficiency in SQL and Python (Pandas, NumPy)
- Deep understanding of options pricing models (Black-Scholes, Binomial)
- Experience with market data vendors (Bloomberg, Refinitiv)
- Strong attention to detail with ability to work autonomously
- Weekend shift availability (Saturday/Sunday 8am-4pm EST)