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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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in fraud analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This will not only demonstrate your technical abilities but also your passion for data accuracy, which is key for this role.
✨Tip Number 3
Prepare for interviews by brushing up on common fraud scenarios and how you would handle them. Being able to communicate complex analyses clearly is crucial, so practice explaining your thought process.
✨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 proactive and engaged with our platform.
We think you need these skills to ace Fraud Analytics Specialist — Real-Time Risk & Impact
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 data accuracy and how you can contribute to protecting customers from fraud. 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 highlight your ability to communicate clearly in both your CV and cover letter. We appreciate candidates who can break down intricate data insights into understandable terms.
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!
How to prepare for a job interview at Zopa Bank Limited
✨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. Practising coding challenges can also help you feel more confident.
✨Understand Fraud Analytics
Familiarise yourself with the latest trends in fraud analytics and risk management. Be prepared to discuss how you would approach monitoring fraud dashboards and investigating unusual patterns. Showing that you’re up-to-date will impress the interviewers.
✨Communicate Clearly
Since the role requires explaining complex analyses, practice articulating your thoughts clearly and concisely. You might want to prepare a few examples of how you've communicated data insights in the past, especially to non-technical stakeholders.
✨Embrace Flexibility
With the hybrid working model, be ready to discuss how you manage your time and productivity when working remotely. Share any experiences you have with flexible working arrangements and how you ensure effective communication with your team.
