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Equity Options Data Analyst

Apex Financial Analytics
Raleigh
Estimated Salary
USD 85.000 – USD 115.000
Live Update
3 September 2026
Deadline
3 Sep 2027

Job Description

We are looking for a detail-oriented Equity Options Data Analyst to join our dynamic team in Raleigh, North Carolina. In this pivotal role, you will leverage your analytical expertise to dissect market data, monitor trading patterns, and provide critical insights that drive our equity options strategies. This is an immediate hire opportunity for a candidate ready to make an impact in the financial sector.

Key Highlights:

  • Immediate Start: Join our team and begin contributing from day one.
  • Impactful Work: Directly influence trading decisions through data-driven analysis.
  • Modern Tools: Work with the latest financial software and big data technologies.

Responsibilities

  • Collect, clean, and analyze large volumes of equity options trade data to identify market trends and pricing anomalies.
  • Develop and maintain complex SQL queries and Python scripts to automate data processing and reporting pipelines.
  • Collaborate with the quantitative research team to build and validate models for option pricing and volatility forecasting.
  • Create interactive visualizations and dashboards (using Tableau or PowerBI) to communicate findings to senior management.
  • Monitor regulatory compliance requirements related to options trading data and ensure data integrity across all systems.
  • Provide ad-hoc analytical support to the trading desk to optimize execution strategies.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
  • Minimum of 3 years of professional experience in data analysis within the financial services industry, specifically with equity options or derivatives.
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data manipulation.
  • Deep understanding of financial markets, specifically the mechanics of options contracts and Greeks (Delta, Gamma, Theta, Vega).
  • Experience with data visualization tools such as Tableau, PowerBI, or Looker.
  • Excellent problem-solving skills and the ability to translate complex data into actionable business intelligence.

Required Skills

Python SQL Equity Options Financial Modeling Data Visualization Pandas NumPy Tableau Derivatives

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