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Equity Options Data Analyst - Colorado Springs, CO

Apex Market Intelligence
Colorado Springs
Estimated Salary
USD 80.000 – USD 120.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you a detail-oriented data professional with a deep understanding of the financial markets? Apex Market Intelligence is seeking a talented Equity Options Data Analyst to join our dynamic team in Colorado Springs. In this pivotal role, you will transform complex market data into clear, actionable insights that drive our trading strategies and risk management frameworks.

As a key member of our analytics team, you will collaborate with senior traders and software engineers to build robust data pipelines and visualization tools. If you are passionate about equity derivatives and possess a knack for uncovering patterns in volatility, we want to hear from you.

Why Join Us?

  • Competitive compensation package in the heart of the Pikes Peak region.
  • Opportunity to work with cutting-edge financial data technologies.
  • Collaborative and innovative work culture.

Responsibilities

  • Analyze large volumes of equity options market data to identify trends, anomalies, and pricing inefficiencies.
  • Develop and maintain SQL queries and Python scripts to automate data extraction and processing workflows.
  • Build interactive dashboards (using tools like Tableau or PowerBI) to visualize options flow and risk metrics for stakeholders.
  • Model complex option strategies, calculating key Greeks (Delta, Gamma, Theta, Vega) to assess market exposure.
  • Collaborate with the risk management team to ensure data integrity and compliance with regulatory standards.
  • Document data models and analysis processes to support continuous improvement initiatives.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
  • 3+ years of experience in data analysis, preferably within the financial services or equity derivatives sector.
  • Strong proficiency in SQL for database querying and management.
  • Experience with Python (Pandas, NumPy) for data manipulation and statistical analysis.
  • Deep understanding of options pricing models (Black-Scholes, Binomial) and market terminology.
  • Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences.

Required Skills

SQL Python Financial Modeling Options Trading Data Visualization Risk Analysis Black-Scholes Pandas Excel

Ready to Take This Challenge?

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