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Senior Equity Options Data Analyst

Meridian Financial Analytics
Chicago
Estimated Salary
USD 110.000 – USD 150.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

We are seeking a highly analytical and detail-oriented Senior Equity Options Data Analyst to join our dynamic trading team in Chicago. In this role, you will bridge the gap between complex market data and actionable trading strategies, ensuring our firm remains competitive in the fast-paced options market.

Why Join Us?

  • Work with cutting-edge financial technology and high-frequency data feeds.
  • Competitive compensation and comprehensive benefits package.
  • Collaborative environment with industry experts and thought leaders.

Responsibilities

  • Develop and maintain robust data pipelines for real-time and historical equity options data ingestion.
  • Perform deep-dive analysis of options flow, volume, and open interest to identify market trends and arbitrage opportunities.
  • Design and implement interactive dashboards using Tableau or Power BI to visualize complex trading metrics for stakeholders.
  • Collaborate with traders and quants to model volatility surfaces and assess risk exposure.
  • Conduct statistical analysis on pricing discrepancies and market efficiency to optimize trading algorithms.
  • Document data models and analytical methodologies to ensure best practices and regulatory compliance.
  • Automate reporting processes to reduce manual workload and increase operational efficiency.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field (Master’s degree preferred).
  • 5+ years of experience in financial data analysis, specifically within options trading or equity markets.
  • Proficiency in Python or R for statistical modeling and data manipulation.
  • Strong SQL skills with the ability to write complex queries against large datasets.
  • Experience with financial modeling concepts, including Black-Scholes, implied volatility, and Greeks.
  • Excellent communication skills, with the ability to translate technical findings for non-technical audiences.
  • Attention to detail and the ability to work in a fast-paced, high-pressure environment.

Required Skills

Python SQL R Tableau Power BI Financial Modeling Options Trading Volatility Surface Risk Management Market Data Analysis Pandas NumPy

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