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Equity Options Data Analyst - Kansas City, MO (Remote)

Global Financial Partners
Kansas City
Estimated Salary
USD 90.000 – USD 120.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Join Global Financial Partners as a key Equity Options Data Analyst and revolutionize how we interpret market volatility. This full-time remote role offers the flexibility to work from anywhere while directly impacting our trading strategies. You'll collaborate with elite quantitative teams to transform complex options data into actionable insights, driving our competitive edge in derivatives markets.

We're seeking a detail-oriented professional who thrives in fast-paced financial environments. Our Kansas City hub combines Midwestern work ethic with cutting-edge fintech innovation. Enjoy comprehensive benefits, professional development stipends, and a culture that values analytical rigor.

Responsibilities

  • Analyze equity options chain data to identify pricing anomalies and arbitrage opportunities
  • Develop Python/R scripts for automated options valuation models using Black-Scholes and Monte Carlo methods
  • Create interactive dashboards in Tableau to visualize implied volatility surfaces and Greeks
  • Collaborate with traders to backtest strategies and refine risk parameters
  • Monitor regulatory changes affecting equity derivatives and update compliance frameworks
  • Present findings to senior stakeholders through concise executive reports

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science (MS/MBA preferred)
  • 3+ years of experience in equity options analysis or quantitative finance
  • Expert proficiency in SQL, Python (Pandas, NumPy), and R
  • Deep understanding of options pricing models and volatility surfaces
  • CFA/FRM designation or equivalent derivatives certification
  • Experience with market data APIs (Bloomberg, Refinitiv) and cloud platforms (AWS/GCP)
  • Proven track record of developing automated trading signals

Required Skills

Equity Options Python R SQL Tableau Black-Scholes Volatility Modeling Quantitative Finance Data Visualization

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