Fraud Operations Lead — Scale & Optimize with Data

Klarna; Stockholms kommun; On-site; SEK 887,000 - 1,235,000; Full time

Job summary

Klarna in Stockholm is seeking a Fraud Operations Lead to shape how fraud operations evolve as the company scales. You will own the operational quality and lead the team while staying hands-on to understand processes and maintain high standards.

You will collaborate with Product, Tech, Risk, and Compliance; manage external vendors; identify inefficiencies and drive scalable improvements across prevention, detection, and investigation.

Qualifications

• 5+ years in fraud operations in fintech/payments or similar.
• Led teams while also doing hands-on operational work.
• Led process-improvement work with scalable solutions.
• Familiar with fraud tooling and case management systems.
• Data-driven decisions with defined KPIs.
• Collaborates with Product, Tech, Risk, and Compliance.
• Experience with external vendors and managing relationships.
• Clear communication with stakeholders at all levels.

Responsibilities

• Own and evolve Klarna's fraud operations framework.
• Lead a team of specialists while staying hands-on to maintain high quality.
• Collaborate with external vendors while keeping in-house expertise.
• Identify inefficiencies and optimize processes for consistency and improvements.
• Bridge between fraud operations and the wider fraud function, ensuring insights inform strategy and scalable processes.

Skills

Fraud operations

Team leadership

Process improvement

Data-driven decisions

Tooling & case management

Vendor management

Cross-functional collaboration

Stakeholder communication

Tools

Case management systems

Job description

Klarna in Stockholm is seeking a Fraud Operations Lead to shape how fraud operations evolve as the company scales. You will own the operational quality and lead the team while staying hands-on to understand processes and maintain high standards.

You will collaborate with Product, Tech, Risk, and Compliance; manage external vendors; identify inefficiencies and drive scalable improvements across prevention, detection, and investigation.