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Equity Options Data Analyst - Immediate Hire - Atlanta, GA

Apex Derivatives Analytics
Atlanta
Estimated Salary
USD 110.000 – USD 150.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are looking for a detail-oriented and analytical Equity Options Data Analyst to join our dynamic team in Atlanta, GA. As a key member of our quantitative research division, you will play a crucial role in analyzing market data, building pricing models, and providing actionable insights to drive trading strategies. This is an immediate hire opportunity for a driven professional ready to make an impact in the financial markets.

Why Join Us?

  • Immediate Start: Join our team and begin contributing from day one.
  • Competitive Compensation: Earn a salary between $110k and $150k based on experience.
  • Modern Environment: Work with cutting-edge financial technologies and a collaborative culture.

Apply today to advance your career in equity options analytics!

Responsibilities

  • Develop Pricing Models: Build and refine equity option pricing models using statistical techniques to assess market volatility and fair value.
  • Data Analysis: Analyze large datasets from market feeds to identify trends, anomalies, and arbitrage opportunities in equity derivatives.
  • Dashboard Creation: Design and maintain interactive dashboards (using tools like PowerBI or Tableau) to visualize complex financial data for stakeholders.
  • Market Research: Conduct deep-dive research on specific equity indices and sectors to support quantitative trading desks.
  • Backtesting: Perform rigorous backtesting of trading strategies to validate model performance and risk parameters.
  • Reporting: Prepare accurate and timely reports on market conditions and model outputs for senior management.
  • Collaboration: Work closely with traders, quants, and software engineers to integrate analytical tools into trading platforms.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field (Master’s degree preferred).
  • Experience: Minimum of 2-4 years of experience in data analysis, financial modeling, or quantitative finance.
  • Technical Skills: Proficiency in Python or R for data manipulation and statistical analysis. Strong command of SQL for database querying.
  • Financial Knowledge: Deep understanding of options theory, Black-Scholes models, implied volatility, and the Greeks.
  • Tools: Familiarity with the Bloomberg Terminal and Excel (VBA/Macros).
  • Soft Skills: Strong analytical thinking, problem-solving abilities, and excellent communication skills.

Required Skills

Python SQL Options Pricing Black-Scholes Model Volatility Analysis Financial Modeling Bloomberg Terminal Excel PowerBI Data Visualization

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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