Senior Data Scientist - Fraud

About Klarna

Klarna was founded in Stockholm, Sweden in 2005. Since then we've changed the banking industry forever. And now we're creating the world's smoothest shopping experience. We serve over 90 million consumers worldwide, and partner with 250,000 merchants – with a new merchant joining us every 8 minutes. Including some of the world's leading brands, such as H&M, ASOS, IKEA, Adidas, Samsung and Lufthansa. Our offices are spread over 17 different markets, hosted by 5000+ employees from 100+ nationalities.

As Data Scientists, we are seeded throughout Klarna’s businesses, either in small technical teams owning a problem space, or embedded as experts in cross-functional teams containing Product Managers, Engineers, Designers and more. We work hard to build Data Science products that our customers will love, and we take great pride in owning models end-to-end, from prototyping to production. You can check out some of our recent projects at

As a Data Scientist in Fraud, you will:

  • Protect Klarna’s customers and own business interests from fraudulent actors.
  • Join a rapidly growing area of Klarna’s business with excellent opportunities to mentor colleagues and lead teams and workstreams.
  • Operate across numerous geographies, each with their distinct fraud patterns, authentication technologies, and data sources.
  • Further enhance your skills in practical Machine Learning and Software Engineering, by developing state-of-the-art supervised and unsupervised models, creating end-to-end data pipelines and deploying your systems in Klarna’s cloud environments.
  • Collaborate with extraordinary people from all over the world, each with their own perspective, background, and expertise.

In order to be successful in this role we believe that you will have:

  • Experience related to risk, portfolio management, authentication, or fraud prevention.
  • Experience developing classification models with machine learning techniques.
  • Experience working with Python, SQL and Git, and an understanding of the concepts behind cloud computing technologies.
  • A deep understanding of the theoretical foundations behind classical and recent machine learning models and algorithms, such as generalized linear models, random forests, ensemble methods, and deep neural networks.
  • Great communication, organization, and team working skills.
  • A university degree in a highly technical, numerate subject (e.g. Mathematics, Physics, Engineering, or Economics).
How to apply
Apply with a CV in English.
We can offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, so we welcome those from different backgrounds and experiences. As part of one of Europe’s fastest growing companies, you'll help play an important role in taking Klarna to the next level.

Klarna is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Please refrain from including your picture and age with your application.