Analyst - Credit Risk & Underwriting

Klarna, briefly

At Klarna, we're building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands-on enough that the interesting part of the work lands with you, not someone else - you'll build with AI, not watch it happen.

This is the stretch zone. Come find out what you're capable of.

About the role

Klarna is migrating underwriting logic that currently differs market by market into a single Global Underwriting Platform (GUP) - the policies you write and the models you use will apply across Klarna's App and its One Card product alike. As an Analyst on the credit decisioning team, you'll combine bureau data, underwriting expertise, and data-driven models to build and defend the risk policies that decide who gets credit and on what terms.

You'll work across Product, Risk, and regional teams as part of that migration, and your work will directly shape point-of-sale credit policy consistency across the markets you cover.

What you'll do

• You'll analyze consumer credit risk using SQL, Python, and credit bureau data to find where underwriting policy should tighten or loosen.

• You'll work with product, risk, and regional teams on the GUP migration, resolving conflicts between legacy market-specific rules and the unified platform logic.

• You'll roll out consistent point-of-sale credit policies across the markets you cover.

• You'll align purchase power and pre-qualification logic between Klarna's App and One Card.

• You'll optimize how Klarna sources and uses credit bureau data, balancing cost against decision quality.

• You'll turn what the data shows into policy changes that underwriting, product, and regional teams can act on directly.

Who you are

• You've worked in consumer credit risk, underwriting, or credit policy, and you understand how policy changes affect both approval rates and portfolio health.

• You're proficient in SQL and Python and comfortable working directly with large, messy datasets.

• You know credit bureau data, repayment behavior, and credit risk modeling well enough to spot where the numbers don't add up.

• You work through ambiguous or inconsistent policy logic methodically until you find the actual root cause.

• You can turn a data finding into a policy change that underwriting, product, and regional teams can each act on.

Bonus points for

• A degree in Finance, Economics, Data Science, Mathematics, or a related quantitative field.

Things you should know before applying

• Working together: we value co-located teams; most teams currently meet in the office 3 days per week, and this varies by team and can change over time.

• Non-obvious backgrounds are welcome. Diversity of skills, perspectives and backgrounds is how we create, innovate, and disrupt like no other.

• Final compensation will be based on the candidate's qualifications, skills, and experience.

Please include a CV in English. Concrete beats comprehensive - what you built, what it did, what it cost.

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