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Equity Options Data Analyst

Quantum Financial Partners
San Francisco
Estimated Salary
USD 65 – USD 85
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join Quantum Financial Partners as an Equity Options Data Analyst in San Francisco! This high-impact contract role offers daily pay, allowing you to access your earnings immediately while working with cutting-edge financial data. You'll analyze complex equity options data, build predictive models, and provide actionable insights to drive trading strategies. Our dynamic team values precision, innovation, and speed – perfect for data professionals who thrive in fast-paced financial environments.

As a key contributor, you'll collaborate with senior traders and quants to optimize options pricing strategies, manage risk exposures, and identify market inefficiencies. This role combines deep financial expertise with advanced data analytics, offering unparalleled exposure to derivatives markets. With daily pay and flexible contract terms, you'll enjoy financial flexibility while advancing your career in fintech.

Responsibilities

  • Analyze high-frequency equity options data to identify pricing anomalies and arbitrage opportunities
  • Develop and maintain options pricing models using statistical methods and machine learning algorithms
  • Create real-time dashboards and reports for trading desk visualization and decision support
  • Validate data integrity across multiple sources including market feeds and proprietary databases
  • Collaborate with quantitative analysts to refine volatility surfaces and Greeks calculations
  • Document methodologies and maintain audit trails for compliance requirements
  • Stay current with regulatory changes affecting equity derivatives markets

Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, or quantitative field (Master's preferred)
  • 3+ years of experience in equity options data analysis or derivatives pricing
  • Proficiency in SQL, Python (Pandas, NumPy), and R for data manipulation
  • Expert knowledge of options pricing models (Black-Scholes, Binomial, Monte Carlo)
  • Experience with financial data platforms (Bloomberg, Refinitiv, or similar)
  • Strong statistical analysis skills with ability to interpret complex financial metrics
  • Certification in FRM, CFA, or financial data analysis highly desirable

Required Skills

SQL Python R Options Pricing Statistical Analysis Financial Modeling Data Visualization Risk Management Bloomberg Machine Learning

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