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- Tasks: Analyse data to develop strategies for fraud prevention and enhance product effectiveness.
- Company: Leading financial services company in the UK with a focus on innovation.
- Benefits: Competitive pay, comprehensive health benefits, and equity rewards.
- Why this job: Join a dynamic team and make a real difference in fraud prevention.
- Qualifications: Expertise in SQL and Python, with experience in customer risk management.
- Other info: Hybrid role offering great career growth and collaborative work environment.
The predicted salary is between 28800 - 43200 £ per year.
A financial services company in the UK is seeking an Analyst II to drive data-driven strategies in fraud prevention. You will analyze data, collaborate cross-functionally, and enhance the product's effectiveness.
The ideal candidate has expertise in SQL and Python, relevant experience in customer risk management, and a quantitative degree.
This hybrid position offers competitive compensation, including comprehensive health benefits and equity rewards.
Remote Fraud Analytics Associate in London employer: Affirm
Contact Detail:
Affirm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Fraud Analytics Associate in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those working in fraud analytics. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with SQL and Python, consider creating a mini-project or analysis to showcase your abilities. Share it on LinkedIn or during interviews to stand out from the crowd.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of customer risk management and be ready to discuss how you've tackled similar challenges in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Remote Fraud Analytics Associate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant work in customer risk management. We want to see how your skills align with the role of a Fraud Analytics Associate!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about fraud prevention and how your quantitative degree has prepared you for this role. A personal touch goes a long way in making your application stand out!
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive decisions or strategies in previous roles. We love seeing real-world applications of your analytical prowess!
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 position. We can’t wait to hear from you!
How to prepare for a job interview at Affirm
✨Know Your SQL and Python
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages to analyse data or solve problems, as this will show your practical expertise.
✨Understand Fraud Prevention Strategies
Familiarise yourself with current trends and strategies in fraud prevention. Being able to discuss how data-driven approaches can enhance product effectiveness will demonstrate your knowledge and passion for the field.
✨Prepare for Cross-Functional Collaboration
Think of examples from your past experiences where you've worked with different teams. Highlight how you communicated complex data insights to non-technical stakeholders, as this is crucial for the role.
✨Showcase Your Quantitative Background
Be ready to talk about your quantitative degree and how it has equipped you with analytical skills. Prepare to discuss any relevant coursework or projects that relate to customer risk management, as this will strengthen your candidacy.
