Job Description
Unlock Your Earning Potential with Daily Pay! Join our elite team as an Equity Options Data Analyst where your expertise meets financial innovation. We offer the flexibility of remote work with the unique benefit of daily pay, ensuring you're rewarded instantly for your contributions. At Quantum Analytics Partners, we're revolutionizing how financial data drives decisions in the dynamic world of equity options.
This role is perfect for analytical minds who thrive on transforming complex market data into actionable insights. You'll work with cutting-edge tools to analyze volatility surfaces, pricing models, and risk metrics while collaborating with top-tier traders and portfolio managers. Our culture values autonomy, innovation, and work-life balance – with daily pay eliminating financial wait times.
Why Choose Us?
- Daily Pay: Access your earnings daily (no more waiting for bi-weekly checks)
- Hybrid Flexibility: Split time between our Philadelphia hub and fully remote work
- Cutting-Edge Tools: Work with Bloomberg, Python, and proprietary analytics platforms
- Impactful Work: Shape multi-million dollar trading strategies
- Growth Path: Fast-track to senior roles with performance-based promotions
Responsibilities
- Analyze equity options market data using SQL, Python, and R to identify pricing inefficiencies and arbitrage opportunities
- Develop and maintain real-time dashboards monitoring volatility surfaces, Greeks, and implied correlations
- Collaborate with quantitative researchers to validate options pricing models and stress-test scenarios
- Generate actionable reports on market microstructure anomalies and institutional flow patterns
- Automate data pipelines ensuring 99.9% accuracy for high-frequency trading systems
- Present findings to cross-functional teams using advanced visualization tools (Tableau/Power BI)
- Monitor regulatory changes (SEC/FINRA) affecting options trading compliance
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science (Master's preferred)
- 3+ years analyzing equity derivatives data with proven track record in options pricing
- Expert proficiency in SQL, Python (pandas, numpy), and statistical modeling (scikit-learn)
- Deep understanding of Black-Scholes, binomial trees, and volatility smile dynamics
- Experience with financial APIs (Bloomberg, Refinitiv) and market data platforms
- Certification in FRM, CFA, or options trading (Series 86/87) strongly preferred
- Portfolio demonstrating options analysis projects with GitHub/LinkedIn links