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Senior Equity Options Data Analyst

Global Capital Partners
New York
Estimated Salary
USD 120.000 – USD 160.000
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Join our dynamic derivatives team as a Senior Equity Options Data Analyst and become a pivotal force in shaping our quantitative strategies. In this high-impact role, you'll transform complex market data into actionable insights that drive our trading decisions and risk management frameworks. We're seeking a detail-oriented professional with deep expertise in equity options to join our fast-paced New York headquarters.

Why This Role Matters: You'll work directly with our portfolio managers and quantitative researchers, leveraging cutting-edge analytics to optimize our options trading strategies. Your insights will directly influence multi-million dollar decisions in one of the world's most competitive financial markets.

Responsibilities

  • Design, implement, and maintain robust data pipelines for equity options market data from multiple sources including OMS, feeds, and exchanges
  • Develop and validate complex models for options pricing, volatility surfaces, and Greeks calculations using Python/R
  • Conduct deep-dive analysis of options trading patterns to identify arbitrage opportunities and market inefficiencies
  • Create automated dashboards and reporting tools for real-time monitoring of options positions and risk metrics
  • Collaborate with quantitative researchers to backtest and refine options trading strategies
  • Present findings to senior leadership through compelling visualizations and narrative reports
  • Maintain data integrity through rigorous validation protocols and anomaly detection systems

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field (Master's preferred)
  • 5+ years of experience in equity options analysis at a financial institution or hedge fund
  • Expert proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for large-scale data manipulation
  • Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo) and volatility surfaces
  • Experience with options exchanges (CBOE, NYSE Arca) and market data vendors (Bloomberg, Refinitiv)
  • Strong statistical modeling skills with demonstrated ability to derive business insights from complex datasets
  • Excellent communication skills with ability to translate technical concepts for non-technical stakeholders

Required Skills

Python SQL Options Pricing Volatility Modeling Financial Data Analysis R Programming Statistical Modeling Market Data Processing Risk Management Data Visualization

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