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Equity Options Data Analyst (Remote - Indianapolis, IN)

Apex Derivatives Solutions
Indianapolis, IN
Estimated Salary
USD 115.000 – USD 160.000
Live Update
13 Oktober 2026
Deadline
13 Okt 2027

Job Description

We are looking for a talented Equity Options Data Analyst to join our elite remote team based in Indianapolis, IN. In this high-impact role, you will be the architect of our quantitative insights, transforming raw market data into actionable trading strategies. We are a forward-thinking firm that values autonomy, precision, and deep financial acumen.

As a Remote Equity Options Data Analyst, you will have the freedom to work from anywhere in the US (including Georgia) while contributing to our global market strategies. This is a unique opportunity to leverage your technical expertise in a premium, high-conversion environment.

Responsibilities

  • Analyze Market Data: Conduct in-depth analysis of equity option chains, volume, open interest, and implied volatility to identify market trends and alpha opportunities.
  • Model Development: Develop and maintain advanced quantitative models using Python and SQL to price options and assess risk exposure in real-time.
  • Dashboard Creation: Build and optimize interactive data visualization dashboards (using Tableau or PowerBI) to track performance metrics and communicate findings to senior stakeholders.
  • Data Pipeline Management: Design and implement automated data pipelines to ensure the accuracy, timeliness, and integrity of financial datasets.
  • Strategy Optimization: Collaborate with trading desks to back-test strategies and refine execution algorithms based on data-driven insights.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, or a related quantitative field (Master’s preferred).
  • Experience: 3+ years of experience in financial data analysis, specifically within equity options, derivatives, or algorithmic trading.
  • Technical Proficiency: Strong command of Python (Pandas, NumPy), SQL, and statistical analysis libraries.
  • Financial Knowledge: Deep understanding of option pricing models (Black-Scholes, Binomial), Greeks, and market microstructure.
  • Remote Capability: Proven ability to manage workload effectively in a fully remote, asynchronous work environment.

Required Skills

Python SQL Options Pricing Black-Scholes Model Volatility Analysis Financial Modeling Tableau Pandas NumPy Derivatives Trading Remote Work

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