At a Glance
- Tasks: Lead the development of innovative credit scoring models and optimise portfolio valuation.
- Company: Join Klarna, a leader in fintech, shaping the future of consumer credit.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact on consumer finance while mentoring the next generation of data scientists.
- Qualifications: Expertise in Python/SQL and machine learning frameworks like XGBoost and scikit-learn.
The predicted salary is between 63000 - 77000 £ per year.
Klarna is seeking a Lead Data Scientist to shape the next generation of consumer-level credit scoring and portfolio valuation models.
You will design and maintain real-time PD models and calibration frameworks for underwriting and return optimization.
Collaborate with cross-functional teams, translate insights into policy, and mentor junior staff.
Strong Python/SQL, XGBoost, scikit-learn, and MLFlow experience required; familiarity with SHAP/LIME/PDP for explainability is preferred.
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Lead Credit Risk Data Scientist – Real-Time Scoring employer: Klarna
Klarna is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about fintech and machine learning. With a focus on employee growth, you will have access to cutting-edge projects and the opportunity to make a tangible impact within a collaborative team environment. Located in a vibrant tech hub, Klarna offers unique advantages such as flexible working arrangements and a commitment to professional development.
