Job Description
Join Quantum Financial Analytics as a remote Equity Options Data Analyst and drive cutting-edge insights in the dynamic options market. We're a premier financial data firm with offices in Boston, MA and Austin, TX, seeking a detail-oriented expert to transform complex options data into actionable strategies. This fully remote role offers the flexibility to work from anywhere while collaborating with top-tier professionals in finance and technology. If you thrive in fast-paced environments and possess a passion for financial analytics, we invite you to apply today and shape the future of options trading intelligence.
Responsibilities
- Analyze and interpret equity options market data using advanced statistical models and machine learning techniques
- Develop automated pipelines for options pricing, volatility surfaces, and risk metrics
- Collaborate with traders and portfolio managers to deliver real-time analytics for strategic decision-making
- Design and maintain dashboards for options flow analysis, implied volatility tracking, and hedging effectiveness
- Conduct ad-hoc research on market anomalies and emerging options trading patterns
- Validate data integrity from multiple sources including exchanges, brokers, and proprietary datasets
- Present complex findings to senior stakeholders through clear visualizations and executive summaries
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in options market analysis or quantitative finance roles
- Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for large-scale data processing
- Expert knowledge of options pricing models (Black-Scholes, Binomial, Monte Carlo)
- Strong experience with data visualization tools (Tableau, Power BI, or Plotly)
- Familiarity with options exchanges (CBOE, NYSE Arca) and market data feeds
- Demonstrated ability to communicate complex quantitative concepts to non-technical audiences
- Remote work experience with proven self-management capabilities