Job Description
Join our dynamic finance team at Quantum Financial Analytics, a leader in quantitative trading solutions. We're seeking a detail-oriented Equity Options Data Analyst to transform complex market data into actionable insights that drive our trading strategies. This hybrid role combines technical expertise with financial acumen in Tucson's growing fintech ecosystem. You'll collaborate with traders, quants, and engineers to optimize options pricing models and risk analytics. Enjoy competitive compensation, flexible work arrangements, and opportunities to shape the future of financial data science.
Responsibilities
- Analyze and interpret equity options market data to identify pricing inefficiencies and trading opportunities
- Develop and maintain automated data pipelines for options pricing models using SQL and Python
- Create interactive dashboards and visualizations for options risk exposure and P&L tracking
- Validate and cleanse options market data from multiple sources ensuring regulatory compliance
- Collaborate with quantitative researchers to enhance options valuation models and volatility surfaces
- Present complex analytics to stakeholders through clear, data-driven narratives
- Monitor market volatility and black swan events to inform risk mitigation strategies
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or related field
- 3+ years of experience in options market data analysis or quantitative finance
- Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau/Power BI)
- Deep understanding of equity options pricing models (Black-Scholes, Binomial Trees)
- Experience with market data platforms (Bloomberg, Refinitiv, or similar)
- Strong statistical analysis skills with ability to handle large datasets
- Familiarity with options Greeks, volatility surfaces, and risk metrics
- Ability to thrive in fast-paced financial environment with strict deadlines