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2 credit risk analyst jobs in Stockholm

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Qred
22/09/2026
Full time
ICT Risk & Vendor Specialist
Qred Stockholm, Sweden
At Qred, we’re building the world's best bank for small businesses. Since launching 11 years ago, we’ve grown from startup to profitable fintech scale-up, now generating over 1 billion SEK in annual revenue and supporting 50,000+ entrepreneurs across Northern Europe. We combine smart technology, real data, and human judgment to make financing simple, fast, and fair. With bold growth plans and strong momentum across multiple markets, we’re now looking for a ICT Risk & Vendor Specialist for the next phase of growth. About The Role You will take 1st Line ownership of Qred’s IT vendor landscape, procurement processes, and critical financial systems within the CTO organization. This role bridges technical operational oversight, vendor project management, and regulatory compliance to ensure our scaling infrastructure operates securely and efficiently under European banking standards. Key responsibilities Build and execute Qred’s 1st Line Third-Party Risk Management (TPRM)...
Klarna
31/07/2026
Full time
Senior/Lead Data Scientist- Open Banking
Klarna Stockholm, Sweden
What You Will Do As a Senior Data Scientist within our Open Banking team, you will build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data through to production deployment, working closely with engineering to operationalize your work at scale. You will also help monitor model performance, impact, and acceptance rates through dashboards you help build, and you will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure. Who You Are Experience building and deploying machine learning models end to end, from raw data to production Strong feature engineering skills, ideally with...
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