- Location
- Stockholm
- Employment
- Full time
- Level
- Manager
- Posted
- 4 June
About this role
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's Operational Risk team covers a global product portfolio, and the calls made there rest on the quality of the underlying data and control testing - not just the frameworks on paper. You'll drive data-informed risk management across that portfolio: pulling signal out of structured and unstructured data, running independent control tests and process reviews, and turning what you find into decisions the business and risk functions can act on. You'll work directly with stakeholders across Product, Engineering, Data Science, and Operations - feeding your findings into how Klarna's risk controls evolve and into the regulatory reporting and governance that keeps the bank compliant across markets. What you'll do You'll analyze structured and unstructured data to monitor risk performance and surface emerging patterns across Klarna's product portfolio. You'll turn your analysis into concrete recommendations that support business and risk decisions. You'll run independent control testing and process reviews to evaluate whether existing risk frameworks actually hold up. You'll contribute to regulatory reporting and governance processes. You'll work with Product, Engineering, Data Science, and Operations to identify and implement improvements to risk controls. Who you are You've spent 5+ years working in fintech, banking, or consulting, with a focus on risk management. You've run independent data analysis to support risk initiatives, not just consumed analysis someone else produced. You've conducted control testing and process reviews inside a risk or compliance function. You understand the regulatory requirements that apply to Klarna's markets and have supported risk reporting processes before. You communicate findings clearly to stakeholders outside risk - Product, Engineering, Data Science, and Operations - and adjust your explanation to the audience. Bonus points for A relevant certification such as CFE or CRCMP. Experience working with data models, analytics techniques, or automated decision systems. A background in payments specifically, alongside broader financial services. A degree in Finance, Risk Management, Data Science, or a related field. Things you should know before applying Working together: we value co-located teams; most teams currently meet in the office 2 - 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!
As published by Klarna. Applications are handled on their site.
Skills this posting mentions
About Klarna
Klarna is an e-commerce company that provides payment solutions for online platforms, offering solutions for e-stores across Europe. Klarna’s frictionless technology allows consumer receive goods first and pay afterwards while it assumes the credit and fraud risks for merchants.
All 94 openings at KlarnaOne click, then it is written
Apply to Klarna with a resume written for this role.
Queue Operational Risk Manager - Analytics and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Klarna’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
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