6 of 6 Credit Risk Modelling Jobs in London

Senior Data Scientist London

Location
Greater London, England, United Kingdom
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 ...

Senior/Lead Data Scientist -Credit Risk Modeling London £81,425 GBP - £116,438 GBP

Location
Greater London, England, United Kingdom
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 ...

Senior/Lead Data Scientist -Credit Risk Modeling

Hiring Organisation
Klarna
Location
London, UK
Employment Type
Full-time
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 ...

Data Scientist

Location
Greater London, England, United Kingdom
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 ...

Lead Data Scientist - Credit Risk Modeling

Location
Greater London, England, United Kingdom
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 ...

Lead Data Scientist - Credit Risk Modeling

Hiring Organisation
Klarna
Location
London, UK
Employment Type
Full-time
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 ...