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Equity Options Data Analyst - Daily Pay in San Jose

Quantum Financial Analytics
San Jose
Estimated Salary
USD 95.000 – USD 130.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join Quantum Financial Analytics as a specialized Equity Options Data Analyst and revolutionize how we interpret market volatility. Enjoy daily pay while working with cutting-edge financial datasets in our San Jose hub. This role offers unparalleled exposure to options pricing models, risk analytics, and real-time market intelligence. We provide flexible remote options for qualified candidates across Ohio and beyond.

Responsibilities

  • Analyze complex equity options data using SQL, Python, and R to identify pricing anomalies and market trends
  • Develop predictive models for options pricing and risk assessment using machine learning algorithms
  • Create interactive dashboards in Tableau/Power BI to visualize options flow and volatility surfaces
  • Collaborate with traders to optimize hedging strategies based on real-time data insights
  • Validate data integrity across multiple sources including market feeds and internal databases
  • Document methodologies and present findings to senior stakeholders with actionable recommendations

Qualifications

  • Bachelor's degree in Finance, Statistics, Mathematics, or Computer Science (Master's preferred)
  • 3+ years experience in financial data analysis with specific options/derivatives focus
  • Expert proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
  • Deep understanding of options pricing models (Black-Scholes, Binomial Tree) and Greeks
  • Proven track record building data pipelines and ETL processes for financial datasets
  • CFA/FRM designation or equivalent industry certification strongly preferred
  • Experience with cloud platforms (AWS/Azure) and big data technologies (Spark)

Required Skills

SQL Python R Options Pricing Risk Analytics Machine Learning Tableau Power BI Financial Modeling ETL

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