Senior/Lead Data Scientist -Credit Risk Modeling

Back to all rolesSenior/Lead Data Scientist -Credit Risk Modeling ApplyJob detailsData Science / Data ScienceMilanFull-time€65,133 EUR - €93,142 EURAt 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 are5+ 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.Awesome to haveHands-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 EnglishCurious to learn more about Klarna and what it's like to work here? Explore our career site!Upload your resume to autofill the applicationUploadFirst name *Last name *Email *Dial codePhone numberLinkedIn profile *Please upload your resume (preferably as a PDF file) *Click or drag file to uploadSupported file format: .PDF; Maximum file size: 10.49 MB; Maximum file: 1;Mandatory Are you currently based in the location the job is posted in? *YesNoAre you legally authorised to work in the location where this position is based? *YesNoWill you now or in the future require sponsorship for employment authorization or visa status in the location this position is based? *YesNoAI disclaimerThis application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages, and final hiring decisions are made by people. Personal data submitted as part of this application is not used to train AI models.I have read and understood the privacy policy and acknowledge that my personal data will be processed as part of this application.ApplyApplyHire withPrivacy Policy