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Finance 🏢 Full Time ⭐️ Verified

Equity Options Data Analyst

Global Financial Analytics
Detroit
Estimated Salary
USD 85.000 – USD 110.000
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Join our dynamic team as an Equity Options Data Analyst at Global Financial Analytics, where you'll transform complex financial data into actionable insights that drive strategic decisions. In this pivotal role, you'll leverage cutting-edge analytics to optimize options trading strategies, support quantitative research, and enhance risk management frameworks. We offer a collaborative environment where your expertise directly impacts market performance and client success. Enjoy competitive compensation, comprehensive benefits, and opportunities for professional growth in Detroit's thriving financial district.

Responsibilities

  • Analyze equity options market data to identify pricing inefficiencies and arbitrage opportunities
  • Develop and maintain automated data pipelines for real-time options pricing models
  • Collaborate with trading desks to interpret market trends and support strategy development
  • Create advanced visualizations and reports for executive stakeholders and regulatory compliance
  • Validate and enhance options valuation models using statistical analysis and machine learning
  • Monitor volatility surfaces and implied term structures to alert on market anomalies
  • Partner with quantitative researchers to refine options risk assessment methodologies

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, or related field (Master's preferred)
  • 3+ years of experience in equity options data analysis or quantitative finance
  • Expert proficiency in SQL and Python (Pandas, NumPy, Scikit-learn)
  • Deep understanding of Black-Scholes, binomial trees, and exotic options pricing
  • Advanced knowledge of options Greeks (Delta, Gamma, Vega, Theta) and risk metrics
  • Experience with financial data platforms (Bloomberg, Refinitiv) or market data APIs
  • Strong track record of developing automated trading signals or risk models
  • Excellent problem-solving skills with attention to detail in high-stakes environments

Required Skills

SQL Python Options Pricing Financial Modeling Data Visualization Risk Management Machine Learning Bloomberg Derivatives Analysis

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