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Data Analyst - Equity Options Strategy

Apex Financial Analytics
Louisville
Estimated Salary
USD 85.000 – USD 115.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

We are seeking a highly analytical and detail-oriented Data Analyst to join our dynamic team in Louisville, KY. In this pivotal role, you will be responsible for analyzing complex equity options data, identifying market trends, and providing actionable insights to drive trading strategies and risk management initiatives.

At Apex Financial Analytics, we pride ourselves on innovation and data-driven decision-making. You will work alongside seasoned quants and traders to build robust models, visualize market volatility, and optimize portfolio performance. If you have a passion for finance and a knack for turning raw data into strategic gold, we want to hear from you.

Why Join Us?

  • Competitive compensation and comprehensive benefits package.
  • Opportunity to work with cutting-edge financial data tools.
  • Collaborative and inclusive work culture in the heart of Louisville.

Responsibilities

  • Collect, clean, and process large volumes of equity options market data to support trading desk operations.
  • Develop and maintain advanced SQL queries and Python scripts to automate data extraction and reporting.
  • Construct interactive dashboards (using Tableau or PowerBI) to visualize implied volatility, Greeks, and pricing discrepancies.
  • Perform statistical analysis on historical options data to identify arbitrage opportunities and model risk exposure.
  • Collaborate with quantitative researchers to refine pricing models and validate algorithmic trading signals.
  • Generate weekly and monthly performance reports for senior management detailing portfolio analytics.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 1-3 years of experience in data analysis, preferably within the financial services, equity markets, or derivatives sector.
  • Strong proficiency in SQL (PostgreSQL, MySQL) and programming languages such as Python (Pandas, NumPy) or R.
  • Deep understanding of options pricing models (Black-Scholes, Binomial) and financial terminology.
  • Experience with data visualization tools like Tableau or PowerBI.
  • Excellent analytical skills with a keen eye for detail and accuracy.

Required Skills

SQL Python Tableau PowerBI Financial Modeling Equity Options Black-Scholes Implied Volatility Risk Management Pandas NumPy Statistics

Ready to Take This Challenge?

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