Job Description
Join Quantum Financial Analytics as an Equity Options Data Analyst and transform complex financial data into actionable insights. In this pivotal role, you'll drive strategic decision-making for our investment portfolio by analyzing equity options markets, volatility patterns, and risk metrics. Collaborate with quantitative researchers and traders to build predictive models that optimize trading strategies and enhance portfolio performance. We offer a dynamic environment where your expertise directly impacts our bottom line.
Responsibilities
- Analyze equity options data using SQL, Python, and R to identify market trends and arbitrage opportunities
- Develop automated dashboards and reports for real-time options pricing and risk exposure monitoring
- Collaborate with quantitative teams to back-test options strategies and validate model outputs
- Monitor implied volatility surfaces and correlate with macroeconomic indicators
- Document data methodologies and maintain data integrity across trading platforms
- Present findings to senior leadership using visual storytelling techniques
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related field
- 3+ years of experience in equity options analysis or quantitative finance
- Proficiency in Python (Pandas, NumPy) and SQL for data manipulation
- Strong understanding of Black-Scholes model and options pricing theories
- Experience with financial APIs (e.g., Bloomberg, Refinitiv) and market data feeds
- Advanced Excel skills with VBA scripting capabilities
- CFA or FRM designation preferred