Klarna

Senior/Lead Data Scientist

Klarna  •  Stockholm, SE (Onsite)  •  2 days ago
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Job Description

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 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 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.

Awesome to have

  • 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

Curious to learn more about Klarna and what it's like to work here? Explore our career site!

Klarna

About Klarna

Klarna – The smarter way to shop and pay

Klarna is the AI-powered global payments and commerce network, on a mission to make shopping smarter and more flexible. Trusted by over 111 million shoppers, Klarna processes 2.9 million transactions daily, providing payment solutions that empower consumers and drive merchant growth.

With Klarna, shoppers have the freedom to pay their way—in full, later, or through financing—providing flexibility while seamlessly connecting merchants with high-intent shoppers driving conversions and customer satisfaction.

More than 790,000 merchant partners—including Uber, H&M, Saks, Sephora, Macy’s, IKEA, Expedia Group, Nike, and Airbnb—leverage Klarna’s payment options, and marketing solutions to enhance the shopping experience and build long-term customer loyalty.

From payments to personalized shopping, Klarna is shaping the future of commerce.

Klarna was founded in Stockholm, Sweden and now has offices in Stockholm, London, New York, Berlin and many more. We offer products and services to consumers and retailers within payments, social shopping, and personal finances.

Learn more at Klarna.com

Industry
IT & Software
Company Size
1,001-5,000 employees
Headquarters
Stockholm, SE
Year Founded
2005
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