Bachelor's degree or equivalent practical experience.
2 years of experience in data analysis or data science, 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 SQL.
Preferred qualifications:
4 years of experience in data analytics and data science.
Experience in the Payments industry, working on risk or fraud management.
Experience in querying and analyzing sets of data.
Knowledge in 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.
Excellent project and program management skills.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.