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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…
Lead engineer on Klarna's Cloud Inventory team, building and running the Asset Inventory that serves as the source of truth for Klarna's cloud assets and extending its Cloud Security Posture Management. Day to day you design full-stack services on AWS using TypeScript, Node.js, NestJS, React, PostgreSQL, and Terraform to track asset ownership, dependencies, and risk, and turn security/compliance r
Business analyst on Klarna's Regulatory Interactions team in Stockholm, handling correspondence, submissions and registers for EU financial regulators (e.g. Finansinspektionen, with coordination on FCA and BaFin) while designing AI-powered tools and processes for logging and managing that work. Requires Swedish and English fluency and regulatory experience.
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…
Lead Engineer in Application Security at Klarna, focusing on preventing security flaws in fintech software by reviewing architecture, threat modeling, and building security tooling. Works cross-functionally to embed secure practices into engineering processes.
This role is an offensive security specialist focused on securing Klarna's iOS and Android applications through penetration testing, red-team exercises, and reverse engineering. The engineer will work closely with development teams to identify and remediate vulnerabilities using the OWASP MASVS and MASTG frameworks.
Oversees end-to-end partner integrations for Klarna’s fintech products, managing scoping, implementation, and troubleshooting across APIs and payment systems while feeding insights back to product/engineering teams.
Builds and deploys machine learning models to analyze open banking data for fraud prevention and credit risk decisions, working closely with engineering to operationalize insights at scale.
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