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Finance 🏢 Full Time ⭐️ Verified

Equity Options Data Analyst | San Francisco, CA

QuantBridge Solutions
San Francisco
Estimated Salary
USD 120.000 – USD 160.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join the Revolution in Financial Analytics

We are looking for a highly skilled Equity Options Data Analyst to join our dynamic team in San Francisco. In this pivotal role, you will bridge the gap between complex financial data and actionable business intelligence. If you thrive in a fast-paced environment and possess a deep understanding of equity markets and derivatives, we want to hear from you.

As a key member of our analytics department, you will be responsible for interpreting market volatility, building predictive models, and providing critical insights that drive our trading strategies. We offer competitive weekly pay and a comprehensive benefits package for the right candidate.

Why Apply?

  • Competitive salary and equity opportunities.
  • Weekly pay structure for financial flexibility.
  • Work with cutting-edge financial datasets.
  • Remote and hybrid work options available.

Responsibilities

  • Perform deep-dive analysis of equity options chains to identify trends and arbitrage opportunities.
  • Develop and maintain SQL queries and Python scripts to automate data extraction and processing.
  • Create interactive visualizations and dashboards using Tableau or Power BI to communicate findings to stakeholders.
  • Collaborate with portfolio managers to refine valuation models and risk management strategies.
  • Ensure the accuracy and integrity of all financial data inputs and outputs.
  • Conduct statistical analysis on historical option pricing data to forecast future market movements.
  • Stay abreast of regulatory changes and market news that may impact option pricing.

Qualifications

  • Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, or Computer Science.
  • 3+ years of experience in data analysis, specifically within the financial services or equities market.
  • Proficiency in SQL, Python (Pandas, NumPy), and R.
  • Strong understanding of Black-Scholes models, volatility surface analysis, and Greeks.
  • Experience with data visualization tools (Tableau, Power BI) is highly preferred.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a team-oriented setting.

Required Skills

SQL Python Tableau Power BI Financial Modeling Black-Scholes Risk Analysis Derivatives Equity Options Data Warehousing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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