9 of 9 Permanent Credit Risk Modelling Jobs in England

fast, and flexible finance. We're at an exciting inflection point — scaling our lending book and building the data infrastructure that will power our credit decisions for years to come. This is a rare opportunity to be the foundational data science hire and have a genuine hand in shaping … think about credit risk, model development, and data-driven decisioning in risk as well as other parts of the business. About the job We're looking for a (Senior) Data Scientist with deep credit risk experience to join us as one of our earliest data ...

this role exists Banks are increasingly asking us a harder question than "can you migrate this" - they are asking "can you make our modelling environment governed, repeatable and defensible". This role focuses primarily on the ungoverned script estate and bringing governance to it. That means walking into … credit risk estate nobody fully understands and producing conclusions that survive a model validation review. The person will do estate discovery, own lineage and evidence capture, bring model lifecycle discipline, industrialise data pipelines, evidence rationalisation decisions so they survive audit, and work directly with credit risk ...

Klarna, our credit risk models sit at the heart of how we underwrite and price risk for millions of consumers globally. We're looking for a Lead Data Scientist to help shape the next generation of consumer-level credit scoring and portfolio valuation models. What … Lead Data Scientist within credit risk modeling, you will shape Klarna’s next-generation consumer-level credit scoring and portfolio valuation models. You’ll design and maintain real-time PD (Probability of Default) models using statistical and ML approaches, integrating them into frameworks for underwriting and economic ...

2275fc49-02d9-4139-9d2a-4a7f10ea4345Location: LondonSalary: 81425 - 116438 GBPType: Full timePosted: 2026-07-23Contact: ivy.chiang@klarna.comAt Klarna, our credit risk models sit at the heart of how we underwrite and price risk for millions of consumers globally. We're looking for a Lead Data Scientist … help shape the next generation of consumer-level credit scoring and portfolio valuation models. What you'll do As a Lead Data Scientist within credit risk modeling, you will shape Klarna's next-generation consumer-level credit scoring and portfolio valuation models. You'll design ...

currently recruiting for a Senior Decision Scientist to join a growing financial services business, working at the forefront of SME lending and automated credit decisioning . This is a great opportunity for someone who wants to take ownership of the full model lifecycle from identifying the problem and building … models through to deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you'll be doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment ...

About the role We are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing … credit risk models to underwrite loan and credit card products. You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. This role will primarily focus on our US unsecured loans and credit ...

public model, because the patterns it needs to learn don't show up in general-purpose LLM training sets.That representation feeds Klarna's consumer credit underwriting, where how a customer has behaved becomes a signal for how they're likely to behave next. Getting there means solving a problem … yet.Bonus points forYou've optimised GPU-level performance or written Triton kernels.You have machine learning experience outside deep learning — classical ML, statistics, or other modelling approaches.You've worked with large-scale transactional or financial data before.You've worked in ML infrastructure or MLOps.You hold a PhD you completed while ...

model, because the patterns it needs to learn don't show up in general-purpose LLM training sets. That representation feeds Klarna's consumer credit underwriting, where how a customer has behaved becomes a signal for how they're likely to behave next. Getting there means solving a problem … optimised GPU-level performance or written Triton kernels. You have machine learning experience outside deep learning — classical ML, statistics, or other modelling approaches. You've worked with large-scale transactional or financial data before. You've worked in ML infrastructure or MLOps. You hold a PhD you completed while ...

transparentreporting. Vendor & Custom Build Balance : Manage complex 3rd-party SaaS software providers alongsideinternal software engineering practices to optimise delivery pace and system resilience. Financial & Risk Governance : Manage Run/Opex and Change/Capex budgets for the Lending valuestream. Ensure full compliance with regulatory frameworks (IRB & Standardised credit risk models,Information Security, and FCA/PRA conduct rules). Continuous Improvement : Drive operational efficiency, removing bottlenecks in workflows, andembedding modern engineering practices (CI/CD, automated testing, DevOps). What do we need from you? Significant experience leading a large technology delivery area within a fast ...