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- Tasks: Monitor fraud dashboards and investigate unusual patterns to protect customers.
- Company: Leading financial institution in Greater London with a focus on innovation.
- Benefits: Flexible working, hybrid model, and opportunities for professional growth.
- Why this job: Make a real difference by safeguarding customers from fraud while using your data skills.
- Qualifications: Strong SQL and Python skills, plus a passion for data accuracy.
- Other info: Collaborative environment with a focus on clear communication and teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial institution in Greater London is seeking a Level 10 Fraud Analyst. This role involves using data to protect customers from fraud and ensuring a smooth experience for genuine clients.
Key responsibilities include:
- Monitoring fraud dashboards
- Investigating unusual patterns
- Designing fraud controls
Ideal candidates should have strong SQL and Python skills, a passion for data accuracy, and the ability to communicate complex analyses clearly. This position allows flexible working with a hybrid model, requiring in-office presence 2-3 days a week.
Fraud Analytics Specialist — Real-Time Risk & Impact in London employer: Zopa Bank Limited
Contact Detail:
Zopa Bank Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Analytics Specialist — Real-Time Risk & Impact in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the financial institution you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your SQL and Python prowess. This not only demonstrates your technical abilities but also your passion for data accuracy.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to fraud analytics. Think about how you would explain complex analyses in simple terms – it’s all about clear communication.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Fraud Analytics Specialist — Real-Time Risk & Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any relevant experience in fraud analytics. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about protecting customers from fraud and how your analytical skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills: Since the role involves explaining complex analyses, make sure to demonstrate your ability to communicate clearly in your application. Whether it’s through your CV or cover letter, we want to see that you can break down complicated concepts into easy-to-understand language.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Zopa Bank Limited
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages to analyse data or solve problems. Practising coding challenges can also help you feel more confident.
✨Understand Fraud Analytics Fundamentals
Familiarise yourself with key concepts in fraud analytics, such as common fraud patterns and detection techniques. Being able to discuss these topics will show that you’re not just technically skilled but also understand the bigger picture of protecting customers.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific fraud scenarios. Think about past experiences where you identified unusual patterns or designed controls. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Communicate Clearly and Confidently
Since the role requires explaining complex analyses, practice articulating your thoughts clearly. You might want to explain a past project to a friend or family member to ensure you can simplify technical jargon into understandable terms.
