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(Other)

Accounting & Finance

Data Science

We make shopping smooth. Our aim is to become the world’s favorite way to shop and bring flexible healthy financial services to consumers.

Klarna was founded in Stockholm, Sweden and now has offices in Stockholm, London, New York, Berlin and many more. We offer products and services to consumers and retailers within payments, social shopping, and personal finances.

Since 2005, Klarna has been on a mission to accelerate commerce with consumer needs at the heart of it. With over 150 million global active users and 2 million transactions per day, Klarna’s fair, sustainable and AI-powered payment and shopping solutions are revolutionizing the way people shop and pay online, empowering consumers to shop smarter with greater confidence and convenience.

More than 500,000 global retailers integrate Klarna’s innovative technology and marketing solutions to drive growth and loyalty, including H&M, Saks, Sephora, Macy’s, IKEA, Expedia Group, and Nike. For more information, visit klarna.com.

If you're as excited about this as we are: join us! It’s a hell of a ride.

Stockholm, Sweden

Klarna

Data Scientist -Fraud

Atomico invests in technology companies at the earliest stages through to ipo, with a particular focus on europe. We leverage deep operational experience to supercharge growth. Founded in 2006, atomico has partnered with over 130 ambitious teams - including those at klarna, supercell, graphcore, compass, messagebird, masterclass, attentive mobile, pipedrive and hinge health. Atomico's team of founders, investors and operational leaders have been responsible for global expansion, hiring and marketing at companies from skype and google to twitter and uber. The firm currently has $5b in assets under management.

Atomico (UK) Partners LLP

Atomico

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As our companies grow, they look to us to help them find the best talent.
Signal that you'd be interested in working with a Atomico company to help us put the right opportunities at great companies on your radar. The choice to pursue a new career move is then up to you.

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Data Scientist -Fraud