Full job descriptionAnalytics 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)