Öhdəliklər

•      Provide support to assess various credit risk models

•      Creation of validation reports

•      Collaboration with model owners and other stakeholders

•      Research new approaches in the field of machine learning, data analysis, validation, experimentation, statistics, etc.

Tələblər

·        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)