Real-Time Fraud Analytics Specialist (SQL/Python)
Real-Time Fraud Analytics Specialist (SQL/Python)

Real-Time Fraud Analytics Specialist (SQL/Python)

Entry level 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Use data analytics to detect fraud patterns and enhance fraud controls.
  • Company: Leading financial institution focused on customer protection.
  • Benefits: Hybrid work model, competitive salary, and dynamic work environment.
  • Why this job: Kickstart your analytics career while making a real difference in fraud prevention.
  • Qualifications: Strong SQL and Python skills with excellent communication abilities.
  • Other info: Perfect for those early in their analytics journey.

The predicted salary is between 28800 - 48000 £ per year.

A leading financial institution is seeking a Level 10 Fraud Analyst in London to protect customers from fraud while ensuring a smooth user experience. This role involves using data analytics to detect fraud patterns and improve fraud controls. Ideal for those early in their analytics career, it offers a hybrid work model and the opportunity to work in a dynamic environment.

Strong SQL and Python skills, alongside clear communication abilities, are essential for success in this position.

Real-Time Fraud Analytics Specialist (SQL/Python) employer: Zopa Bank

As a leading financial institution, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to grow and excel in their careers. With a hybrid work model and a focus on professional development, we offer unique opportunities for early-career analysts to make a meaningful impact in fraud prevention while enjoying the vibrant atmosphere of London. Join us to be part of a team that values your contributions and supports your journey towards success.
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Contact Detail:

Zopa Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Real-Time Fraud Analytics Specialist (SQL/Python)

✨Tip Number 1

Network like a pro! Reach out to professionals in the fraud analytics field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that interview.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL and Python projects. Whether it's a personal project or something from your studies, having tangible examples of your work can really impress potential employers.

✨Tip Number 3

Prepare for the interview by brushing up on common fraud detection scenarios. Think about how you would use data analytics to tackle real-world problems. This will help you demonstrate your analytical thinking and problem-solving skills.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications with us!

We think you need these skills to ace Real-Time Fraud Analytics Specialist (SQL/Python)

SQL
Python
Data Analytics
Fraud Detection
Communication Skills
Problem-Solving Skills
Attention to Detail
User Experience Focus

Some tips for your application 🫡

Show Off Your SQL and Python Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on sharing specific examples!

Communicate Clearly: Since clear communication is key for this role, ensure your application is well-structured and easy to read. We appreciate a straightforward approach, so keep it concise and to the point while showcasing your personality.

Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background aligns with the responsibilities of a Fraud Analyst and how you can contribute to enhancing fraud controls at our institution.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic environment!

How to prepare for a job interview at Zopa Bank

✨Master Your SQL and Python Skills

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 detect fraud patterns. Practising coding challenges related to data analytics can also give you a confidence boost.

✨Know the Company and Its Values

Research the financial institution thoroughly. Understand their approach to fraud prevention and customer experience. This will not only help you answer questions more effectively but also show that you're genuinely interested in the role and the company.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills. Think of examples from your past experiences where you successfully identified fraud or improved controls. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

✨Communicate Clearly and Confidently

Since clear communication is essential for this role, practice explaining complex concepts in simple terms. During the interview, make sure to articulate your thoughts clearly and confidently, as this will demonstrate your ability to convey important information effectively.

Real-Time Fraud Analytics Specialist (SQL/Python)
Zopa Bank

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