Risk Control Manager- Fraud Risk Oversight

Overview

In this role, you will lead the second line of defense for fraud risk, shaping how Klarna identifies, measures, and governs fraud within its risk appetite. You will influence cross-functional teams by providing independent judgments on controls, models, and risk decisions, rather than managing day-to-day fraud ops. Expect meaningful interaction with governance bodies as you interpret data and risk signals to protect customers and the business. This is a chance to apply risk thinking at scale while working on high-impact fraud challenges.

Responsibilities

• Define and maintain fraud risk taxonomy, risk appetite statements, and key risk indicators
• Own the methodology for fraud risk assessments and conduct periodic assessments
• Independently test and challenge first-line controls (rules engines, ML models, manual reviews)
• Challenge remediation timelines and risk acceptance with business owners
• Produce fraud risk MI and dashboards for risk committees and the Board
• Monitor emerging fraud typologies and external threat intelligence; review incidents and breaches
• Provide independent opinion on new products, markets, and material changes from a fraud risk perspective
• Maintain the fraud risk policy and ensure first line adherence
• Track regulatory developments (PSD2/PSD3, APP fraud, AML) and support regulatory exams
• Coordinate with Financial Crime Compliance, Legal, and Internal Audit on cadence of information

Key requirements

• 7+ years in fraud or risk, with payments and lending fraud experience (APP, account takeover, synthetic identity, first-party, merchant fraud)
• Practical application of risk frameworks (Three Lines of Defense, risk appetite setting, RCSA)
• Ability to review models and interpret metrics (precision, recall, drift, back-testing)
• Ability to assess whether changing fraud rates reflect risk appetite or fraud trends
• Experience negotiating remediation timelines or risk acceptances with stakeholders
• Strong written and verbal communication for risk committees and Board

• Stakeholder management
• Clear and concise communication
• Independent judgment and challenging assumptions
• Fraud risk frameworks and governance
• Data interpretation and risk reporting (MI, dashboards)
• Model evaluation concepts (precision, recall, drift, back-testing)

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