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Equity Options Data Analyst - Washington DC (Remote)

Capital Analytics Group
Washington
Estimated Salary
USD 85.000 – USD 120.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join Capital Analytics Group as a remote Equity Options Data Analyst and transform complex financial data into actionable insights. You'll be at the forefront of quantitative analysis, supporting our trading desk with real-time market intelligence and risk modeling. This full-time role offers the flexibility of remote work while collaborating with a dynamic team of finance professionals in Washington DC. Enjoy competitive compensation, comprehensive benefits, and opportunities for professional growth in a fast-paced financial environment.

Responsibilities

  • Analyze equity options data using SQL, Python, and R to identify market trends and trading opportunities
  • Develop and maintain automated data pipelines for options pricing models and volatility surfaces
  • Collaborate with traders to interpret complex derivatives data and support strategic decisions
  • Create interactive dashboards using Tableau/Power BI for real-time options risk monitoring
  • Conduct backtesting of options strategies using historical market data
  • Document data methodologies and ensure compliance with SEC regulations
  • Mentor junior analysts on quantitative analysis best practices

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, or related field (Master's preferred)
  • 3+ years experience in options trading analytics or quantitative finance
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
  • Strong knowledge of Black-Scholes model, volatility surfaces, and Greeks
  • Experience with financial APIs (Bloomberg, Refinitiv) and market data feeds
  • CFA or FRM certification highly desirable
  • Proven ability to present complex data to non-technical stakeholders
  • Remote work experience with strong self-management skills

Required Skills

SQL Python R Tableau Power BI Options Pricing Volatility Modeling Market Data APIs Quantitative Analysis

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