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Klarna

Senior/Lead Data Scientist -Credit Risk Modeling

London
£81.4k – £116.5k/yr
Posted about 15 hours ago
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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.

  • Develop calibration frameworks
  • Ensure compliance with regulatory and fairness standards
  • Explore novel methodologies — including LLMs for explainability and feature engineering
  • Collaborate with cross-functional teams
  • Translate modeling insights into strategic credit policies and business value
  • Mentor junior team members
  • Contribute to Klarna's long-term modeling vision

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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.

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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!

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Skills

Credit Risk Modeling
Probability of Default Modeling
Python
SQL
XGBoost
Scikit-learn
Pandas
MLFlow
SHAP
LIME
PDP
LLM
Statistical Modeling
Machine Learning
Credit Analytics
Feature Engineering

Location

London, England, United Kingdom

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