Model Validation Intern

Educational Background: enrollment or recent completion of a degree in a quantitative/numerical field (e.g., mathematics, statistics, finance, economics). Basic Understanding of Credit Risk Models: a strong interest in credit risk modeling and a basic understanding of credit risk concepts. Analytical Skills: demonstrated analytical and problem-solving skills. Programming Knowledge: familiarity with programming, such as Python, R, or similar languages would be a plus. Communication Skills: effective communication skills, both written and verbal. Team Player: ability to collaborate and work effectively in a team environment. Positive Attitude: a positive and eager-to-learn mindset. Language Proficiency: proficiency in English (B2 level or equivalent)