Job Description
Join Quantum Financial Analytics as an Equity Options Data Analyst and revolutionize how we interpret complex market data. This high-impact role offers daily pay and the opportunity to work at the intersection of finance and data science in Baltimore's thriving financial district. You'll be instrumental in developing predictive models for option pricing strategies while collaborating with top-tier traders and quantitative researchers. Enjoy flexible schedules and immediate compensation for your expertise in one of finance's most dynamic niches.
Responsibilities
- Analyze equity options data using SQL, Python, and R to identify market anomalies and trading opportunities
- Develop automated dashboards for real-time options pricing and volatility tracking
- Collaborate with quants to backtest option strategies using historical market data
- Prepare executive reports on options portfolio performance and risk exposure
- Optimize data pipelines for high-frequency options trading systems
- Conduct ad-hoc analysis for exotic derivatives and structured products
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or Data Science
- 3+ years analyzing equity options or derivatives data
- Expert proficiency in SQL and Python (Pandas, NumPy)
- Strong understanding of Black-Scholes and options pricing models
- Experience with financial APIs (Bloomberg, Refinitiv) and market data platforms
- Certification in FRM or CFA preferred
- Proven ability to translate complex data into actionable business insights