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Finance 🏒 Full Time ⭐️ Verified

Equity Options Data Analyst

Apex Financial Solutions
Tucson, AZ
Estimated Salary
USD 90.000 – USD 145.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

We are seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our elite finance team in Tucson. In this pivotal role, you will bridge the gap between complex financial derivatives and actionable data insights, driving pricing strategies and risk management initiatives.

Our ideal candidate possesses a deep understanding of options pricing models and the technical acumen to manipulate vast, high-frequency datasets. You will work closely with quantitative researchers and trading desks to build robust data pipelines and predictive models that ensure competitive edge in the options market.

Responsibilities

  • Develop and maintain advanced data models for equity options pricing and volatility surface analysis.
  • Collaborate with the trading floor to provide real-time data support and comprehensive market risk reporting.
  • Automate complex data extraction and processing workflows using Python and SQL to enhance operational efficiency.
  • Perform rigorous stress testing and scenario analysis on diverse option portfolios to assess risk exposure.
  • Visualize complex financial data using Tableau or PowerBI to communicate key findings to executive stakeholders.

Qualifications

  • Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3+ years of experience in financial data analysis, specifically within equity derivatives or options markets.
  • Proficiency in programming languages such as Python (Pandas, NumPy) and SQL.
  • Strong knowledge of options pricing theories (e.g., Black-Scholes, Binomial models) and the calculation of Greeks.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes financial environment.

Required Skills

Python SQL Options Pricing Financial Modeling Risk Management Data Visualization Black-Scholes Volatility Surface Pandas NumPy

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