Credit Risk Model Validation Analyst

What role you will play in team: You will be part of a team that independently validates credit risk models used by the bank, ensuring accuracy, reliability and compliance with regulatory requirements.

What you will do: Review and validate the statistical methodologies and assumptions behind our credit risk models, testing their effectiveness and identifying potential weaknesses.

Key responsibility:

• Independently review and validate credit risk models using statistical techniques.
• Assess the accuracy and reliability of model outputs.
• Evaluate the model's assumptions and identify potential biases.
• Develop and document model validation reports.
• Communicate findings to senior management and model developers.
• Maintain knowledge of regulatory requirements for model validation.

Required Qualification and Skills:

• Master's degree in a quantitative field such as Statistics, Mathematics, or Financial Engineering.
• 3-5 years of experience in credit risk model validation or a related field.
• Strong understanding of statistical modeling techniques.
• Experience with programming languages such as R, SAS, or Python.
• Excellent analytical, problem-solving, and communication skills.
• Strong knowledge of regulatory requirements for model validation.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for career growth and development within a global firm.
• Comprehensive training and mentorship.
• Collaborative and challenging work environment.
• Access to cutting-edge technology and resources.

A Day in the Life: A day involves model review, statistical analysis, report writing, and communication with various stakeholders, ensuring the integrity of our credit risk models.