Job Description
Join our dynamic team as an Equity Options Data Analyst and drive strategic decisions through data excellence. We're seeking a remote professional to transform complex financial data into actionable insights for our Denver-based operations. This role combines cutting-edge analytics with deep market expertise to optimize option pricing strategies and risk management. Work collaboratively with traders, quants, and portfolio managers while leveraging state-of-the-art tools. Enjoy flexible remote work with occasional in-person meetups in Denver and opportunities to engage with our Illinois-based partners. Your expertise will directly impact our market position and client satisfaction.
Responsibilities
- Analyze equity options market data using SQL, Python, and R to identify pricing inefficiencies
- Develop and maintain option pricing models for complex derivatives structures
- Create interactive dashboards using Tableau/Power BI to visualize risk exposures and P&L
- Collaborate with trading teams to validate hedging strategies through backtesting
- Monitor volatility surfaces and implied correlations for market anomalies
- Document analytical methodologies and maintain data quality standards
- Present findings to cross-functional stakeholders including C-suite executives
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or related field
- 3+ years of experience in options trading analytics or quantitative finance
- Proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
- Strong understanding of Black-Scholes, binomial trees, and exotic options
- Experience with time-series analysis and machine learning for financial data
- Certification in FRM, CQF, or equivalent preferred
- Ability to work independently in remote environments with strict deadlines