Credit Model Validation Manager (Machine Learning & NPV Models)

Overview

As Credit Model Validation Manager, you will provide independent validation and oversight of Monzo’s credit models across lending strategies. You will work in the second line of defence to ensure models are fit for purpose, governed, and explainable, influencing model development with actionable challenge. You’ll help strengthen risk controls, validate performance, and drive improvements in the Model Risk Framework. This role combines hands-on analytics with cross-functional collaboration to support safe, customer-focused growth.

Pay / Benefits

• Salary: 79,000 – 93,000
• Incentive awards linked to performance
• Flexible working hours
• Learning budget (£1,000 annually)
• MacBooks for all employees
• Remote work support for fully distributed staff

Responsibilities

• Lead independent validation of credit decisioning models, including ML and NPV/unit economics models
• Validate broader credit risk models (IFRS9, stress testing, economic response)
• Develop deep understanding of Monzo’s credit models to challenge developers and improve capability
• Monitor model performance against risk thresholds and support first line when action is needed
• Perform statistical analyses and develop challenger models to test assumptions
• Enhance the Model Risk Framework and ensure alignment with regulatory guidelines
• Write impactful validation reports and present findings to committees
• Collaborate with first line of defence credit strategy/modelling teams and wider risk teams
• Adopt new technologies, including AI tools, to enhance validation approaches

Key requirements

• Strong background in credit model development and/or validation
• Experience with decision science scorecards, origination PD models, and NPV modeling
• Data-driven with solid statistical techniques for credit and model risk
• Hands-on data skills with SQL and Python; data visualization tools a plus
• Understanding of real-time decisioning in lending and balance of commercial/risk outcomes
• Excellent written and verbal communication; ability to explain complex issues clearly
• Proven track record of stakeholder management and effective challenge
• Passion for technology and continuous improvement in modelling practices

• Strong communication
• Stakeholder management
• Proactive problem-solving
• SQL
• Python
• Machine learning models

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