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Finance 🏢 Full Time ⭐️ Verified

Equity Options Data Analyst - Weekend Shift

Quantum Financial Analytics
Atlanta
Estimated Salary
USD 85.000 – USD 110.000
Live Update
12 Agustus 2026
Deadline
12 Agu 2027

Job Description

Join our dynamic derivatives team as an Equity Options Data Analyst where you'll drive critical insights for institutional clients. This weekend shift role offers unparalleled exposure to real-time market data analysis and quantitative modeling in a fast-paced environment. Work directly with senior traders and quantitative analysts to validate pricing models, monitor volatility surfaces, and identify arbitrage opportunities. Enjoy competitive compensation, flexible scheduling, and career growth in one of Atlanta's most innovative fintech hubs.

Responsibilities

  • Analyze real-time equity options data to detect pricing anomalies and market inefficiencies
  • Develop and maintain automated scripts for options chain validation and risk calculations
  • Collaborate with trading desks to interpret market sentiment and volatility shifts
  • Generate daily performance reports and risk exposure summaries for portfolio managers
  • Support model validation processes for exotic options and structured products
  • Monitor regulatory compliance in options trading across multiple exchanges
  • Document data sources, methodologies, and analytical frameworks

Qualifications

  • Bachelor's degree in Finance, Statistics, Mathematics, or related quantitative field
  • 3+ years of experience in equity options pricing or market data analysis
  • Advanced proficiency in SQL and Python (Pandas, NumPy)
  • Deep understanding of Black-Scholes model and Greeks (Delta, Gamma, Vega, Theta)
  • Familiarity with options exchanges (CBOE, NYSE Arca) and market data feeds
  • Experience with visualization tools (Tableau, Power BI) for financial dashboards
  • Strong analytical mindset with attention to detail in high-pressure scenarios

Required Skills

SQL Python Options Pricing Market Data Analysis Financial Modeling Risk Management Volatility Analysis

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