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....
Description: Minimum qualifications: - 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.
- Experience with one or more of the following languages: SQL, R, Python, or C++.
Preferred qualifications: - Master's degree in a quantitative discipline.
- 2 years of experience in the Payments industry, working on risk or fraud management.
- 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.
- Ability to identify workflow pain points, optimize, automate and scale processes.
- Excellent communication skills and comfortable interacting with internal and external stakeholders.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.