Risk Control Manager- Fraud Risk Oversight

Overview

In this role, you help Klarna strengthen its fraud risk posture within the second line, balancing risk controls with growth. You will define risk taxonomy, assess policies, and independently challenge first-line controls to protect the business. You’ll spend significant time on governance and stakeholder engagement while using data insights to form an independent risk view. You’ll influence product and regulatory decisions and maintain compliance with evolving standards. This role offers real impact across a fast-moving payments and lending platform with a strong focus on risk-informed growth.

Responsibilities

• Define and maintain fraud risk taxonomy, risk appetite statements, and KRIs
• Own methodology for fraud risk assessments and run periodic evaluations
• Independently test and challenge first-line fraud controls (rules, ML models, manual reviews)
• Challenge risk acceptance decisions and negotiate remediation timelines with business owners
• Produce fraud risk MI and dashboards for risk committees and Board
• Monitor emerging fraud typologies and external threat intelligence; escalate material incidents
• Provide independent view on new products, markets, and material changes from fraud risk perspective
• Maintain fraud risk policy and ensure first line compliance
• Track regulatory developments (PSD2/PSD3, APP, AML) and support supervisory requests
• Coordinate with Financial Crime Compliance, Legal, and Internal Audit

Key requirements

• 7+ years in fraud or risk
• Experience with payments and lending fraud (APP, account takeover, synthetic identity, first-party, merchant fraud)
• Applied risk frameworks (Three Lines of Defense, risk appetite setting, RCSA)
• Model evaluation literacy (precision, recall, drift, back-testing)
• Ability to review models and interpret outputs without building them
• Negotiated remediation timelines or risk acceptances with cross-functional owners
• Clear written and verbal communication for risk committees and Board

• Clear written and verbal communication
• Stakeholder management and governance
• Analytical thinking with independent judgment
• Fraud risk management and governance
• Regulatory compliance knowledge (PSD2/PSD3, AML)
• Model risk assessment and interpretation of ML performance metrics

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