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Equity Options Data Analyst - Daily Pay

Quantum Analytics Group
San Jose
Estimated Salary
USD 87.500 – USD 112.500
Live Update
18 Agustus 2026
Deadline
18 Agu 2027

Job Description

Join our cutting-edge financial analytics team as an Equity Options Data Analyst in San Jose! We're seeking a detail-oriented professional to transform complex market data into actionable insights with immediate compensation. Enjoy flexible schedules and daily payments while working with industry-leading tools in a dynamic environment. This contract role offers unparalleled exposure to derivative markets and algorithmic trading strategies.

Why Apply? • Competitive daily pay with weekly settlements • Remote-friendly hybrid work model • Opportunity to work with Fortune 500 financial partners • Mentorship from senior quants and market analysts • Contract-to-hire potential available

Responsibilities

  • Analyze equity options market data using SQL, Python, and R to identify trading signals
  • Build and maintain automated data pipelines for real-time market feeds
  • Develop statistical models to price options and assess risk exposure
  • Collaborate with trading teams to optimize execution strategies
  • Create interactive dashboards using Tableau/Power BI for stakeholder reporting
  • Monitor market volatility and correlate with macroeconomic indicators
  • Document methodologies and ensure regulatory compliance

Qualifications

  • Bachelor's degree in Finance, Statistics, Computer Science, or related field
  • 3+ years experience in options market data analysis
  • Proficiency in Python (Pandas, NumPy) and SQL
  • Strong understanding of Black-Scholes and binomial pricing models
  • Experience with financial APIs (Bloomberg, Refinitiv) or market data feeds
  • Advanced Excel skills with VBA macros
  • Familiarity with cloud platforms (AWS/GCP) for data processing
  • Ability to work under tight deadlines in fast-paced markets

Required Skills

Python SQL Options Pricing Market Data Analysis Statistical Modeling Tableau Bloomberg R AWS

Ready to Take This Challenge?

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