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- Tasks: Lead data-driven fraud risk management and analyse trends to enhance fraud prevention.
- Company: Join Klarna, a leading fintech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in fraud risk management while working with cutting-edge technology.
- Qualifications: 5+ years in fintech or banking with strong data analysis and fraud management skills.
- Other info: Dynamic team environment with a focus on continuous improvement and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
In this position, you will strengthen Klarna’s Operational Risk team by leading data-driven fraud risk management across our global product portfolio. The role involves conducting in-depth analysis of structured and unstructured data to monitor fraud risk performance, identify emerging trends, and deliver actionable insights. It also includes performing independent control testing and process reviews to assess the adequacy and effectiveness of fraud prevention and detection measures in the first line of defense.
Additional responsibilities include:
- Independent consumer sample testing
- Analysing structured and unstructured data
- Evaluating policies, rules, and logic to detect emerging fraud patterns
- Collaborating closely with teams across fraud strategy, engineering, data science, and customer service to enhance controls and support regulatory reporting
- Partnering with first line of defense stakeholders
- Contributing to continuous improvements in the fraud risk framework
- Ensuring Klarna stays ahead of evolving market trends and external fraud vectors
Who you are
- Minimum 5 years of experience in fintech, banking, or consulting with a focus on fraud and risk management
- Proven experience performing independent data analysis and leading fraud risk initiatives
- Strong expertise in fraud risk management, data analysis, and interpretation of complex datasets
- Experience conducting independent control testing and process reviews
- Proficiency in regulatory compliance and preparation of risk reporting
- Excellent communication and stakeholder management skills
- Bachelor’s degree in Finance, Risk Management, Data Science, or a related field
Awesome to have
- Certified Fraud Examiner (CFE), CRCMP, or similar professional certifications
- Experience working with machine learning models or fraud detection algorithms
- Background in consumer lending or card fraud risk management
- Ability to develop solutions to complex problems while navigating business constraints
- Experience working in rapidly changing fraud environments or high-growth financial technology settings
Please include a CV in English.
Analytics Manager - Operational Risk employer: Klarna
Contact Detail:
Klarna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager - Operational Risk
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and risk management space, especially those who work at Klarna. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in fraud risk management and data analysis. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, and news in the fintech world. This will not only help you in interviews but also show that you're genuinely interested in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re keen on joining the team at Klarna. Don’t miss out on this opportunity!
We think you need these skills to ace Analytics Manager - Operational Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fraud risk management and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about operational risk and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Data Skills: Since this role involves a lot of data analysis, make sure to mention any specific tools or methodologies you’ve used. Whether it’s machine learning models or data interpretation, we want to know how you’ve tackled complex datasets in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you can explore more about Klarna while you’re there!
How to prepare for a job interview at Klarna
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis techniques, especially those relevant to fraud risk management. Brush up on your experience with structured and unstructured data, as you'll likely be asked to discuss how you've used these in past roles.
✨Showcase Your Stakeholder Skills
Prepare examples of how you've effectively communicated and collaborated with various teams. Highlight your ability to manage relationships across departments, as this role requires working closely with fraud strategy, engineering, and customer service.
✨Be Ready for Scenario Questions
Expect to tackle hypothetical situations related to fraud detection and prevention. Think through your problem-solving approach and be ready to explain how you would handle emerging fraud patterns or regulatory compliance challenges.
✨Highlight Continuous Improvement Initiatives
Demonstrate your commitment to enhancing fraud risk frameworks. Share specific instances where you’ve contributed to process improvements or implemented new controls, showcasing your proactive approach to staying ahead of market trends.
