Senior Retail Credit Risk Model Validation Specialist

5 days ago

Singapore beBeeRisk Full time $90,000 - $120,000

As a seasoned professional, you will take on the critical role of retail credit risk model validation. Your expertise will be crucial in ensuring that our client's models are robust, accurate, and compliant with regulatory standards.

Responsibilities

Validating retail credit risk models across various portfolios, including origination, scoring, provisioning, and stress testing models is a key aspect of this position. You will thoroughly review methodologies, assumptions, data quality, and performance metrics to ensure adherence to internal risk policies and regulatory requirements.

The successful candidate will identify potential weaknesses or limitations within the models and provide clear, actionable recommendations to strengthen model robustness and predictive accuracy.

You will document validation findings, prepare comprehensive reports, and present insights to senior management and regulatory bodies.

Collaboration with model development and data teams is essential to understand the design and purpose of each model and facilitate ongoing monitoring through periodic reviews.

Additionally, you will stay current with evolving regulatory requirements and industry best practices in credit risk modeling, supporting audit and regulatory examinations related to validation activities.

Requirements

A bachelor's or master's degree in Finance, Economics, Statistics, Actuarial Science, or a related field, along with 3 to 7 years of experience in credit risk or model validation within financial institutions or consulting firms is required.

Strong expertise in retail credit products, risk modeling frameworks such as Basel and IFRS 9, and proficiency in statistical tools like SAS, R, or Python are necessary.

Excellent analytical, communication, and stakeholder management skills are essential for success in this role.

To Apply

Please submit your resume to ... quoting the job title. We regret that only successful shortlisted candidates will be notified.

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