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- Tasks: Lead data-driven initiatives and conduct detailed analysis to combat fraud risk.
- Company: A leading fintech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact in fraud prevention within a fast-paced industry.
- Qualifications: 5+ years of experience in data analysis and a relevant bachelor's degree.
- Other info: Join a collaborative team dedicated to evolving risk management strategies.
The predicted salary is between 43200 - 72000 £ per year.
A leading fintech company in Greater London is seeking an experienced professional to join its Operational Risk team focusing on fraud risk management. The successful candidate will lead data-driven initiatives, conduct detailed data analysis, and collaborate with various stakeholders to enhance fraud prevention measures.
Candidates should possess at least 5 years of relevant experience, a strong background in data analysis, and a bachelor’s degree in a related field. This position offers an exciting opportunity to contribute to a dynamic and evolving risk management landscape.
Lead Analytics Manager, Fraud Risk & Operations in London employer: Klarna
Contact Detail:
Klarna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Manager, Fraud Risk & Operations in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working in fraud risk management. A friendly chat can open doors and give you insights that might just land you that Lead Analytics Manager role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects and any successful fraud prevention initiatives you've led. This will help us see your expertise in action during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by rehearsing your responses. Focus on how your experience aligns with the job description and be ready to discuss specific examples of your work in fraud risk management.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Analytics Manager, Fraud Risk & Operations in London
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 fraud prevention and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Data Skills: Since this role is all about data-driven initiatives, make sure to highlight your analytical skills. Mention specific tools or methodologies you’ve used in the past that relate to fraud risk management. We’re keen to see your expertise in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Klarna
✨Know Your Data Inside Out
As a Lead Analytics Manager, you'll need to demonstrate your expertise in data analysis. Brush up on your past projects and be ready to discuss specific data-driven initiatives you've led. Highlight how your analytical skills have directly contributed to fraud risk management.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends and challenges in the fintech industry, especially regarding fraud prevention. This knowledge will not only impress your interviewers but also show that you're genuinely interested in the role and the company’s mission.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical fraud risk scenarios. Practice articulating your thought process and decision-making strategies. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Showcase Your Collaboration Skills
Collaboration is key in this role, so be prepared to discuss how you've worked with various stakeholders in the past. Share examples of how you’ve successfully communicated complex data insights to non-technical teams, as this will demonstrate your ability to bridge gaps between data and operational needs.
