Minimum qualifications:

• Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research), or equivalent practical experience.
  
• 2 years of experience in data analysis or a data science setting.
  
• Experience with programming languages (e.g., Python, R, Julia) and database languages (e.g., SQL).
  

Preferred qualifications:

• Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
  
• 2 years of experience in the Payments industry, working on risk or fraud management.
  
• Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) and/or data-focused programming.
  
• Experience working with Large Language Models (LLMs).
  
• Knowledge of one or more of the following areas: Statistical analysis and Machine Learning libraries (e.g., R, Scikit-learn, Tensorflow), Programming languages (e.g., Python, C/C++), Large Language Models (LLMs), or Generative AI.
  
• Ability to generate actionable insights to drive business impact.