Job Description
Join Quantum Analytics Partners as an Equity Options Data Analyst and become a key player in our dynamic finance team. We're seeking a highly analytical professional to support our options trading desk by delivering actionable insights from complex market data. Enjoy the flexibility of remote work with weekly pay and contribute to cutting-edge financial strategies.
This role requires a blend of technical expertise and market acumen to drive data-driven decision-making. You'll collaborate closely with traders and portfolio managers to optimize options pricing strategies while maintaining rigorous data integrity standards.
Responsibilities
- Analyze large-scale equity options datasets using SQL, Python, and R to identify pricing anomalies and market trends
- Develop and maintain automated reporting dashboards for options Greeks, volatility surfaces, and risk metrics
- Validate option pricing models (Black-Scholes, Binomial) against market data and suggest calibration improvements
- Support trading strategies by backtesting historical options performance and identifying arbitrage opportunities
- Monitor regulatory compliance for SEC filings and exchange reporting requirements
- Present complex analytics to executive stakeholders through clear visualizations and executive summaries
- Collaborate with cross-functional teams to integrate options analytics with portfolio management systems
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science (Master's preferred)
- 3+ years of experience in financial data analysis with specific options market exposure
- Advanced proficiency in Python (Pandas, NumPy) and SQL for large dataset manipulation
- Strong understanding of options pricing models, volatility modeling, and risk management concepts
- Experience with financial APIs (Bloomberg, Refinitiv) and market data feeds
- Proven ability to translate complex quantitative analysis into actionable business insights
- Certifications in FRM, CFA, or relevant financial analytics are advantageous