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, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
2 years of experience managing projects and defining project scope, goals, and deliverables.
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.), or a related field.
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) or data-focused programming.
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++), LLMs, or Generative AI.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.