Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidd…
Credit Risk Modelling Manager
Skills & Technologies
Job Description
Analytics Manager | Permanent | Glasgow Hybrid (3 days office) | Competitive Salary + Package
The Opportunity
Senior Analytics leadership role within a well-established financial services environment
Ownership of unsecured credit risk strategy across the full lifecycle including originations, collections & recoveries
Key position supporting business performance through data-driven insight, predictive modelling and commercial decisioning
Opportunity to shape and evolve IFRS 9 frameworks alongside advancing AI and machine learning capability
Visible role working closely with senior stakeholders across Risk, Finance, Operations, Technology
Key Responsibilities
Own the development, deployment, and optimisation of credit risk strategies across the customer lifecycle
Lead the predictive modelling approach ensuring alignment to risk appetite, commercial objectives and regulatory expectations
Monitor portfolio performance using robust MI, segmentation and champion challenger techniques
Translate analytical insight into clear actionable recommendations to improve business outcomes
Maintain and enhance IFRS 9 framework including annual model review, governance and documentation
Develop explainable AI and machine learning models within a well-controlled governance structure
Lead the delivery of model changes, strategy enhancements and process improvements across the business
Partner with senior stakeholders to influence decision making and support change delivery
Team Leadership
Lead, coach, develop a small team of Analysts
Build strong technical capability alongside commercial understanding
Promote best practice in analytics, governance and model management
Foster a high performing, engaged, delivery focused team culture
Act as deputy to the Head of department when required
About You
Proven experience in credit risk analytics within financial services
Strong background in predictive modelling across originations, collections or recoveries
Advanced capability using SAS or equivalent statistical tools
Deep understanding of credit risk strategy, portfolio performance and optimisation techniques
Strong communication skills with ability to influence senior stakeholders
Experience working within model governance frameworks including IFRS 9
Desirable
Exposure to AI or machine learning techniques within a regulated environment
Experience leading or mentoring analytics teams
Broader understanding of end to end credit lifecycle
Why Consider This Role
High impact role with real ownership of strategy and models
Strong balance of technical depth, commercial influence and leadership
Opportunity to shape future analytics capability including AI adoption
Collaborative environment with senior stakeholder exposure
Hybrid working model with flexibility (3 days per week in the Glasgow office)
Company & Role Analysis
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