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Equity Options Data Analyst | Immediate Hire | Baltimore, MD

Apex Financial Analytics
Baltimore, MD
Estimated Salary
USD 90.000 – USD 125.000
Live Update
12 Oktober 2026
Deadline
12 Okt 2027

Job Description

Are you a data-savvy financial professional looking to leverage your expertise in the high-stakes world of equity options? Apex Financial Analytics is looking for a detail-oriented Equity Options Data Analyst to join our growing team in Baltimore, MD. We are offering an immediate hire opportunity for a candidate capable of bridging the gap between complex market data and actionable trading strategies.

In this role, you will be the architect of our data infrastructure, ensuring our trading desks have the most accurate and timely insights on option pricing, volatility surfaces, and Greeks. While based in our Baltimore hub, we support a distributed network and welcome candidates in the Ohio region looking for remote flexibility.

Responsibilities

  • Data Extraction & Engineering: Design and maintain robust ETL pipelines to ingest and normalize massive datasets from major options exchanges (CBOE, NASDAQ, NYSE).
  • Quantitative Analysis: Develop complex SQL queries and Python scripts to analyze option chains, identify arbitrage opportunities, and model risk exposures.
  • Visualization & Reporting: Create interactive, high-performance dashboards using Tableau or PowerBI to visualize market trends, heatmaps, and Greeks in real-time.
  • Model Validation: Assist in validating and refining Black-Scholes and Binomial pricing models using historical data sets.
  • Collaborative Support: Partner with quantitative researchers and traders to interpret data anomalies and provide strategic recommendations.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Experience: Minimum of 3-5 years of experience in data analysis within the financial services sector, with a specific focus on derivatives or equity options.
  • Technical Skills: Advanced proficiency in SQL (PostgreSQL/Redshift) and Python (Pandas, NumPy, Scikit-learn).
  • Domain Knowledge: Strong understanding of options pricing mechanics, volatility smiles, and Greeks (Delta, Gamma, Theta, Vega).
  • Tools: Experience with data visualization tools (Tableau, PowerBI) and version control (Git) is highly preferred.

Required Skills

SQL Python Tableau PowerBI Financial Analysis Options Trading Black-Scholes Risk Management ETL Data Mining

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