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Job Description
What role you will play in team: You'll be a critical member of the model validation team, independently reviewing and validating the credit risk models used by the bank to ensure accuracy and regulatory compliance.
What you will do: You will perform rigorous model reviews, identify potential issues and work with developers to address them, contributing directly to the bank's risk management framework.
Key responsibility:
- Independently review and validate credit risk models used across various lending portfolios.
- Assess model performance and identify potential weaknesses or biases.
- Develop and implement model validation methodologies and documentation.
- Communicate findings and recommendations to stakeholders.
- Collaborate with model developers to address identified issues.
- Ensure compliance with regulatory requirements for model validation.
Required Qualification and Skills:
- Master's degree in a quantitative field (Statistics, Mathematics, Finance, etc.).
- Strong understanding of statistical modeling techniques and econometrics.
- Experience with model validation in a financial institution.
- Proficiency in programming languages (e.g., SAS, R, Python).
- Excellent communication and presentation skills.
Benefits Included:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth and development within a global organization.
- Exposure to advanced risk management techniques and methodologies.
- Collaborative work environment with experienced professionals.
A Day in the Life: Your day-to-day will involve reviewing credit models, running simulations, validating accuracy and collaborating with model developers and stakeholders to address any identified issues.
Skills
Credit Risk ModelingModel ValidationEconometricsSASRPythonRegulatory ComplianceIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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