Job Description
Join Quantum Financial Analytics as an Equity Options Data Analyst and drive critical financial decisions with cutting-edge data insights. We're seeking a dynamic professional to transform complex equity options data into actionable intelligence for our institutional clients. This immediate hire opportunity offers competitive compensation, flexible remote work options, and career growth in a fast-paced financial technology environment.
As a key member of our quantitative analytics team, you'll collaborate with traders, portfolio managers, and risk analysts to optimize options pricing strategies, identify market anomalies, and enhance trading algorithms. Our Dallas headquarters features state-of-the-art technology and a collaborative culture that values innovation and precision.
Responsibilities
- Analyze large-scale equity options datasets using SQL, Python, and R to identify pricing inefficiencies and trading opportunities
- Develop and maintain automated data pipelines for real-time options market data processing
- Create interactive dashboards using Power BI and Tableau to visualize volatility surfaces, Greeks, and risk metrics
- Collaborate with quantitative researchers to validate pricing models and enhance risk management frameworks
- Present complex analytical findings to senior stakeholders through executive reports and presentations
- Monitor market conditions and regulatory changes impacting equity options strategies
- Contribute to continuous improvement of data quality standards and analytical methodologies
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in financial data analysis, specifically with equity options or derivatives
- Expert proficiency in SQL for complex data extraction and manipulation
- Advanced knowledge of Python (Pandas, NumPy) and R for quantitative analysis
- Strong understanding of options pricing models (Black-Scholes, Binomial), volatility surfaces, and Greeks
- Experience with financial APIs (Bloomberg, Refinitiv) and market data platforms
- Proven ability to translate technical findings into business recommendations
- Excellent communication skills with ability to present to non-technical audiences