At a Glance
- Tasks: Lead the development of innovative credit risk models and mentor junior data scientists.
- Company: Join Klarna, a leader in consumer credit solutions with a global impact.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Shape the future of credit scoring while making a real difference in consumer finance.
- Qualifications: 5+ years in credit risk modeling, strong Python and SQL skills required.
The predicted salary is between 81425 - 116438 £ per year.
At 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 you'll doAs 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 and maintain real-time PD (Probability of Default) models using statistical and ML approaches, integrating them into frameworks for underwriting and economic return optimization. You'll develop calibration frameworks, ensure compliance with regulatory and fairness standards, and explore novel methodologies — including LLMs for explainability and feature engineering. Collaborating with cross-functional teams, you'll translate modeling insights into strategic credit policies and business value, while mentoring junior team members and contributing to Klarna's long-term modeling vision.
Who you are- 5+ years' experience in credit risk modeling for consumer lending, credit cards, or BNPL.
- Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques.
- Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow.
- Experience with explainability frameworks such as SHAP, LIME, PDP.
- Ability to communicate technical concepts clearly and influence cross-functional decisions.
- Familiarity with real-time modeling and current trends in ML and credit analytics.
- Hands-on experience using LLMs to extract features from unstructured data (e.g., customer communications, credit applications).
- Knowledge of integrating third-party credit bureau data into production models.
- Understanding of champion/challenger model frameworks and A/B testing infrastructure.
- Exposure to loan-level economic modeling, including cost-of-capital and loss metrics.
Please include a CV in English.
Senior/Lead Data Scientist -Credit Risk Modeling employer: PLP Group
CellPoint Digital is an exceptional employer that champions innovation and collaboration in the heart of London. With a strong focus on employee growth, we offer competitive salaries, a dynamic work culture, and opportunities to lead transformative projects in cloud technology. Join us to be part of a forward-thinking team that values automation, security, and developer experience.
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We think this is how you could land Senior/Lead Data Scientist -Credit Risk Modeling
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We think you need these skills to ace Senior/Lead Data Scientist -Credit Risk Modeling
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
