Job Description
Join Quantum Financial Analytics as a remote Equity Options Data Analyst and transform complex financial data into actionable insights. We're seeking a detail-oriented expert to drive our options trading strategies forward while enjoying the flexibility of remote work in Denver, CO or Illinois. This role offers competitive compensation, cutting-edge tools, and the opportunity to shape the future of quantitative finance.
As a key member of our data science team, you'll collaborate with traders and portfolio managers to optimize options pricing models, identify market inefficiencies, and enhance risk management frameworks. Our culture values innovation, precision, and work-life balance—perfect for professionals who thrive in dynamic environments.
Responsibilities
- Analyze equity options market data using SQL, Python, and R to identify pricing anomalies and trading opportunities
- Develop and maintain automated data pipelines for real-time options pricing and volatility surfaces
- Create interactive dashboards using Tableau/Power BI to visualize P&L attribution and risk exposures
- Collaborate with quantitative analysts to backtest options strategies and refine pricing models
- Ensure data integrity through rigorous validation protocols and anomaly detection systems
- Stay current with SEC/FINRA regulations impacting options markets and compliance reporting
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science (Master's preferred)
- 3+ years of experience in financial data analysis, specifically with equity derivatives
- Advanced proficiency in Python (Pandas, NumPy) and SQL for large-scale data manipulation
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo)
- Experience with cloud platforms (AWS/GCP) and containerization (Docker)
- Strong statistical knowledge and ability to communicate complex findings to non-technical stakeholders
- Certifications in FRM or CFA a significant plus