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- Tasks: Lead data-driven fraud risk management and conduct in-depth analysis to enhance fraud prevention.
- Company: Join Klarna, a leading fintech company focused on innovation and operational excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by tackling fraud risks in a dynamic global environment.
- Qualifications: 5+ years in fintech or banking with strong expertise in fraud risk management.
- Other info: Collaborate with diverse teams and stay ahead of evolving market trends.
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, and evaluating policies, rules, and logic to detect emerging fraud patterns, and collaborating closely with teams across fraud strategy, engineering, data science, and customer service to enhance controls and support regulatory reporting. The role also partners with first line of defense stakeholders, contributes to continuous improvements in the fraud risk framework, and ensures 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 in London employer: Klarna
Contact Detail:
Klarna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager - Operational Risk in London
✨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. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Be ready to discuss trends! Stay updated on the latest in fraud detection and risk management. Being able to talk about emerging patterns and how they relate to Klarna’s operations will impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Klarna team.
We think you need these skills to ace Analytics Manager - Operational Risk in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fintech, banking, or consulting, especially focusing on fraud and risk management. We want to see how your skills align with the role, so don’t be shy about showcasing your data analysis expertise!
Showcase Your Achievements: When writing your application, include specific examples of your past successes in fraud risk initiatives. We love seeing quantifiable results, so if you’ve improved processes or reduced fraud rates, let us know!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key points stand out. This will help us quickly understand your fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the Analytics Manager position. We can’t wait to hear from you!
How to prepare for a job interview at Klarna
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of structured and unstructured data relevant to fraud risk management. Brush up on your analytical skills and be ready to discuss specific examples of how you've used data to identify trends or improve fraud prevention measures.
✨Showcase Your Experience
Highlight your past roles in fintech, banking, or consulting, especially those focused on fraud and risk management. Be prepared to share concrete examples of independent data analysis and any fraud risk initiatives you've led, as this will demonstrate your expertise and fit for the role.
✨Understand Regulatory Compliance
Familiarise yourself with the regulatory landscape surrounding fraud risk management. Be ready to discuss how you’ve ensured compliance in previous roles and how you would approach risk reporting at Klarna. This shows that you’re not just a data whiz but also understand the bigger picture.
✨Communicate Effectively
Since the role involves collaboration with various teams, practice articulating complex ideas clearly and concisely. Prepare to discuss how you’ve managed stakeholders in the past and how you can enhance controls through effective communication and teamwork.
