Job Description
Join our dynamic finance team as a remote Equity Options Data Analyst and drive data-driven decisions in the fast-paced world of derivatives. This high-impact role combines deep financial market expertise with advanced analytics to optimize option pricing strategies and risk management frameworks. You'll work with cutting-edge datasets and collaborate directly with traders, quants, and portfolio managers to deliver actionable insights.
We offer a competitive compensation package, flexible remote work arrangements, and opportunities for professional growth in one of San Francisco's most innovative financial tech environments. If you're passionate about transforming complex market data into strategic advantages, we want to hear from you.
Responsibilities
- Analyze and interpret equity options market data to identify pricing inefficiencies and arbitrage opportunities
- Develop and maintain automated data pipelines for real-time options pricing and volatility modeling
- Create advanced analytics dashboards using SQL, Python, and visualization tools (Tableau/Power BI)
- Collaborate with quantitative analysts to validate pricing models and risk exposure calculations
- Conduct ad-hoc research on market trends and regulatory impacts affecting options strategies
- Present complex findings to senior stakeholders through clear, data-driven narratives
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in equity derivatives data analysis or quantitative finance roles
- Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis libraries
- Deep understanding of options pricing models (Black-Scholes, Binomial) and volatility surfaces
- Experience with financial APIs (Bloomberg, Refinitiv) and market data platforms
- Strong problem-solving skills with ability to translate business requirements into technical solutions
- Proven track record of delivering high-impact analytics in financial services