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Equity Options Data Analyst | Atlanta, GA | Urgent Hiring

Apex Derivatives & Analytics
Atlanta
Estimated Salary
USD 120.000 – USD 160.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Are you ready to decode the complexities of the global derivatives market?


Apex Derivatives & Analytics is seeking a highly skilled Equity Options Data Analyst to join our elite data science team in Atlanta, Georgia. In this pivotal role, you will transform raw market data into actionable intelligence, powering our proprietary trading algorithms and risk management strategies.


We are looking for a problem-solver who thrives in a fast-paced, high-performance environment. You will be responsible for the end-to-end lifecycle of data analysis, ensuring our models reflect the most accurate market conditions.


Why Join Us?

  • Competitive Compensation: $120k - $160k Base Salary + Performance Bonus.
  • State-of-the-Art Technology: Work with the latest in Python, Spark, and cloud infrastructure.
  • Remote-Friendly Culture: Hybrid work model based in the heart of Atlanta.

Responsibilities

  • Analyze high-frequency equity options data to identify pricing anomalies and arbitrage opportunities.
  • Develop and maintain complex statistical models to forecast volatility surfaces and implied volatility.
  • Design and deploy interactive dashboards (PowerBI/Tableau) for real-time trade monitoring and performance tracking.
  • Collaborate with quantitative researchers to refine option pricing models and hedging strategies.
  • Ensure data integrity and perform rigorous back-testing of trading signals using historical market data.
  • Automate data pipelines to ingest feeds from Bloomberg, Reuters, and internal exchanges.

Qualifications

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3+ years of experience in data analysis, specifically within the financial derivatives or options market.
  • Proficiency in programming languages such as Python (Pandas, NumPy) or R.
  • Strong command of SQL for querying large-scale relational databases.
  • Deep understanding of options pricing theory, including the Black-Scholes model, Greeks (Delta, Gamma, Vega, Theta), and the volatility smile.
  • Experience with data visualization tools and cloud platforms (AWS/GCP) is a strong plus.

Required Skills

Python SQL Options Pricing Black-Scholes Model Volatility Surface Risk Management Data Visualization Pandas Quantitative Analysis

Ready to Take This Challenge?

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

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