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Finance 🏢 Full Time ⭐️ Verified

Equity Options Data Analyst | Remote Weekly Pay

FinTech Analytics Solutions
Raleigh
Estimated Salary
USD 95.000 – USD 130.000
Live Update
16 Agustus 2026
Deadline
16 Agu 2027

Job Description

Join our cutting-edge financial analytics team as an Equity Options Data Analyst! We're seeking a detail-oriented expert to transform complex market data into actionable insights, supporting our clients' high-stakes trading decisions. Enjoy the flexibility of remote work with competitive weekly pay and collaborate with industry leaders in a dynamic, growth-oriented environment.


What You'll Love:

  • Weekly paycheck for immediate financial flexibility
  • 100% remote work with flexible hours
  • Cutting-edge tools and proprietary datasets
  • Clear career path into quantitative research
  • Comprehensive benefits package (health/dental/vision)

Responsibilities

  • Analyze equity options market data using Python, SQL, and statistical modeling tools
  • Develop and maintain automated reporting dashboards for volatility surfaces and Greeks calculations
  • Collaborate with traders to validate pricing models and identify arbitrage opportunities
  • Monitor market conditions and alert teams to unusual activity or model deviations
  • Document methodologies and create training materials for junior analysts
  • Present findings to executive stakeholders through clear visualizations
  • Optimize data pipelines for real-time options analytics processing

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, or Computer Science (Master's preferred)
  • 3+ years experience in equity options analytics or quantitative trading support
  • Expert proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
  • Strong understanding of Black-Scholes models and volatility surfaces
  • Experience with market data providers (Bloomberg, Refinitiv, or similar)
  • Certification in financial modeling or options valuation (CFA/FRM a plus)
  • Proven ability to communicate complex quantitative concepts to non-technical audiences

Required Skills

Python SQL Options Pricing Volatility Modeling Financial Analytics Data Visualization Statistical Analysis Market Data Black-Scholes Bloomberg Refinitiv

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