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Equity Options Data Analyst (Weekend Shift)

Quantitative Analytics Group
Long Beach
Estimated Salary
USD 65.000 – USD 95.000
Live Update
13 Oktober 2026
Deadline
13 Okt 2027

Job Description

Join Quantitative Analytics Group as an Equity Options Data Analyst and revolutionize financial insights through weekend flexibility! We're seeking a detail-oriented professional to decode complex options data while enjoying a 3-day workweek. This hybrid role offers competitive compensation and the chance to impact high-stakes trading decisions without sacrificing personal time. Work Saturdays and Sundays analyzing real-time options chains, volatility surfaces, and risk metrics alongside our dynamic team. Perfect for analysts seeking work-life balance without compromising career growth.

Our Long Beach hub provides state-of-the-art technology and collaborative spaces where weekend analysts thrive. You'll leverage cutting-edge tools to transform raw market data into actionable intelligence that drives our options trading strategies. This role requires strong quantitative skills and a passion for financial markets, offering unparalleled exposure to institutional trading operations while maintaining a weekday lifestyle.

Responsibilities

  • Analyze equity options chain data to identify pricing anomalies and arbitrage opportunities
  • Develop and maintain automated models for options pricing and risk assessment
  • Generate weekend-focused reports on volatility surfaces and implied skew patterns
  • Collaborate with traders to interpret market sentiment through options flow analysis
  • Monitor real-time options data during weekend market events (earnings, Fed announcements)
  • Optimize data pipelines for weekend batch processing of options metrics
  • Present findings through interactive dashboards accessible to global trading teams

Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or Data Science
  • 3+ years of experience in options trading analytics or quantitative finance
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and visualization tools
  • CFA/FRM designation or equivalent options market knowledge preferred
  • Experience handling weekend market data and event-driven analysis
  • Strong understanding of Black-Scholes and binomial pricing models
  • Ability to work independently with minimal weekend supervision

Required Skills

Options Trading Data Analysis SQL Python Financial Modeling Risk Management Weekend Flexibility Quantitative Analysis

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