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Senior Financial Data Analyst (Equity Options)

Meridian Financial Analytics
Milwaukee
Estimated Salary
USD 95.000 – USD 125.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are seeking a highly analytical and detail-oriented Senior Financial Data Analyst specializing in Equity Options to join our dynamic team in Milwaukee, WI.

In this pivotal role, you will bridge the gap between complex financial data and actionable trading strategies. You will be responsible for ensuring data integrity, building robust data pipelines, and providing deep insights into market volatility and pricing models.

At Meridian Financial Analytics, we value precision and innovation. If you have a passion for quantitative finance and data-driven decision-making, we want to hear from you.

Responsibilities

  • Collect, clean, and validate large, high-frequency datasets related to equity options and derivatives trading.
  • Develop and maintain complex SQL queries and Python scripts to automate data extraction and reduce manual reporting errors.
  • Create interactive, real-time dashboards using Tableau or Power BI to visualize option chain data, Greeks, and implied volatility.
  • Conduct quantitative analysis on option pricing models (e.g., Black-Scholes, Binomial) to identify market trends and arbitrage opportunities.
  • Collaborate closely with the trading desk and risk management teams to provide actionable insights and performance metrics.
  • Document data pipelines and ensure strict compliance with financial reporting standards and internal audit requirements.

Qualifications

  • Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or Computer Science (Master’s preferred).
  • 3+ years of experience in financial data analysis, specifically within the Equity Options or derivatives sector.
  • Strong proficiency in SQL (PostgreSQL/MySQL) and Python (Pandas, NumPy, Scikit-learn).
  • Deep understanding of financial modeling and familiarity with options pricing concepts (Calls, Puts, IV, Delta, Gamma, Theta).
  • Excellent communication skills to translate complex data findings for non-technical stakeholders.
  • Ability to thrive in a fast-paced, high-volume trading environment with tight deadlines.

Required Skills

SQL Python Financial Modeling Equity Options Tableau Power BI Data Visualization Black-Scholes Risk Management Derivatives

Ready to Take This Challenge?

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