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Equity Options Data Analyst

Apex Derivatives Analytics
Indianapolis
Estimated Salary
USD 95.000 – USD 135.000
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Are you a detail-oriented data analyst with a passion for financial markets? Apex Derivatives Analytics is seeking a skilled Equity Options Data Analyst to join our dynamic team in Indianapolis, IN. In this pivotal role, you will bridge the gap between complex market data and actionable trading strategies, ensuring our quantitative models are built on a foundation of pristine, high-fidelity data.

As a key member of our analytics division, you will collaborate closely with quantitative researchers and traders to uncover market trends, optimize pricing models, and enhance our overall trading performance. If you thrive in a fast-paced environment and possess a deep understanding of equity derivatives, we want to hear from you.

Responsibilities

  • Data Acquisition & Cleaning: Collect, process, and validate massive datasets related to equity options, ensuring data integrity and accuracy for quantitative modeling.
  • Model Support: Assist in the development and maintenance of pricing models by providing high-quality data inputs and performing scenario analysis.
  • Dashboarding: Create interactive visualizations and automated reporting tools using Python and BI software to monitor market volatility and Greeks in real-time.
  • Backtesting: Execute rigorous backtests on trading strategies involving options, analyzing performance metrics to identify potential improvements.
  • Market Research: Analyze market microstructure and option chain data to provide insights on liquidity and implied volatility surfaces.
  • Stakeholder Communication: Translate complex data findings into clear, concise reports for senior management and trading desks.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Finance, or a related field. Master’s degree preferred.
  • Experience: 2-5 years of experience in data analysis, specifically within the financial services or derivatives trading sector.
  • Technical Skills: Proficiency in Python (Pandas, NumPy) and SQL for data manipulation and retrieval.
  • Domain Knowledge: Strong understanding of equity options markets, Black-Scholes models, and the mechanics of the CBOE or global exchanges.
  • Soft Skills: Exceptional problem-solving abilities, strong attention to detail, and the ability to work effectively in a collaborative team environment.

Required Skills

Python SQL Pandas NumPy Equity Options Financial Modeling Data Visualization Tableau Excel Statistical Analysis Market Data

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