Senior/Lead Data Scientist - Open Banking

Back to all rolesSenior/Lead Data Scientist - Open BankingApplyJob detailsData ScienceMilanFull-time€65,133 EUR - €93,142 EURWhat you will doAs 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 areExperience building and deploying machine learning models end to end, from raw data to productionStrong feature engineering skills, ideally with transactional or financial dataProficient in Python and SQL, with experience working in AWS environmentsSolid understanding of classification modeling techniques for risk or fraud use casesComfortable partnering closely with engineering teams to bring models into productionStrong communication skills, with the ability to work cross-functionally with Credit Modeling and Fraud teamsA curious, ownership-driven mindset, comfortable building infrastructure and processes from scratchAwesome to haveExperience with open banking data or affordability modelingFamiliarity with building dashboards for model monitoring, ideally with tools like DatabricksExperience with monitoring and observability tools such as DatadogBackground in underwriting, credit risk, or fraud detection use casesPlease include a CV in EnglishCurious to learn more about Klarna and what it's like to work here? Explore our career site!Upload your resume to autofill the applicationUploadFirst name *Last name *Email *Dial codePhone numberLinkedIn profile *Please upload your resume (preferably as a PDF file) *Click or drag file to uploadSupported file format: .PDF; Maximum file size: 10.49 MB; Maximum file: 1;Mandatory Are you currently based in the location the job is posted in? *YesNoAre you legally authorised to work in the location where this position is based? *YesNoWill you now or in the future require sponsorship for employment authorization or visa status in the location this position is based? *YesNoAI disclaimerThis application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages, and final hiring decisions are made by people. Personal data submitted as part of this application is not used to train AI models.I have read and understood the privacy policy and acknowledge that my personal data will be processed as part of this application.ApplyApplyHire withPrivacy Policy