Job Description
Join our elite night shift team at Quantum Financial Analytics, where we decode complex equity options data to drive strategic financial decisions. As a Data Analyst specializing in equity options, you'll work during high-volume market hours (10 PM - 6 AM MT) to analyze real-time market data, identify trends, and provide actionable insights to our trading desks. This role offers unparalleled exposure to derivatives markets while maintaining work-life balance through our structured night shift schedule.
We're seeking a detail-oriented professional passionate about financial data integrity and market dynamics. You'll collaborate with traders, risk managers, and quantitative analysts to develop models that optimize options pricing strategies and hedge positions. Our Denver office features cutting-edge analytics tools and a collaborative environment designed for focused night shift productivity.
Responsibilities
- Analyze real-time equity options data using SQL, Python, and R to identify pricing anomalies and market trends
- Develop and maintain options pricing models using Monte Carlo simulations and Black-Scholes methodologies
- Generate daily P&L reports and risk exposure summaries for trading desk operations
- Collaborate with quants to backtest new strategies using historical options data (2000+ instruments)
- Monitor market volatility surfaces and alert teams to unusual activity during night shift hours
- Document analytical processes and create automated reporting dashboards using Tableau
- Present findings to senior leadership during morning handoff meetings
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related field (MS/MBA preferred)
- 3+ years experience in equity options analysis or derivatives trading support
- Advanced proficiency in SQL, Python (Pandas, NumPy), and R for financial data analysis
- CFA or FRM certification strongly preferred
- Demonstrated experience with options pricing models and volatility surface analysis
- Ability to work independently during night shift hours with minimal supervision
- Strong attention to detail with proven experience handling large-scale financial datasets
- Familiarity with market microstructure and order book dynamics