Job Description
Join our dynamic team as an Equity Options Data Analyst and drive critical insights in the fast-paced derivatives market. We're seeking a detail-oriented professional to transform complex financial data into actionable intelligence for our trading desk. This remote-friendly position offers immediate impact on our options pricing models and risk management strategies.
As a key member of our quantitative analytics group, you'll collaborate with traders and quants to optimize our options valuation framework. You'll have direct access to real-time market data and cutting-edge analytics tools. This role is perfect for data-savvy professionals passionate about financial markets and seeking career acceleration in a supportive environment.
Responsibilities
- Analyze equity options pricing models using Python/R and SQL to identify arbitrage opportunities
- Develop automated reporting dashboards for volatility surfaces and implied skew metrics
- Validate and cleanse large-scale options market data from multiple exchanges
- Collaborate with quantitative researchers to enhance Black-Scholes and binomial tree models
- Monitor P&L attribution for options portfolios using statistical analysis
- Document data methodologies and maintain audit trails for compliance
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related field
- 3+ years of experience in equity derivatives data analysis
- Advanced proficiency in SQL and Python (Pandas, NumPy)
- Strong understanding of options Greeks (Delta, Gamma, Vega, Theta)
- Experience with market data platforms like Bloomberg or Refinitiv
- Knowledge of volatility surface modeling and implied volatility curves
- Ability to present complex data insights to non-technical stakeholders