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- Tasks: Monitor fraud performance and investigate anomalies using data analysis.
- Company: Next-generation digital lender focused on compliance and innovation.
- Benefits: Competitive salary, annual leave, bonuses, and growth shares program.
- Why this job: Join a high-impact team and make a difference in fraud prevention.
- Qualifications: Strong SQL and Python skills, detail-oriented, and familiar with fraud tools.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A next-generation digital lender is seeking a Fraud Analyst to enhance their Compliance team. In this role, you will monitor fraud performance, investigate anomalies, and improve fraud decisioning through data analysis.
Applicants should have strong SQL and Python skills, familiarity with fraud prevention tools, and a detail-oriented approach.
The position offers a competitive salary and various benefits including annual leave, bonuses, and a growth shares program.
Fraud Data Analyst – High-Impact, Data-Driven employer: Selina Finance
Contact Detail:
Selina Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Data Analyst – High-Impact, Data-Driven
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to fraud analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common fraud scenarios and how data analysis can help. Practice articulating your thought process clearly, as this will demonstrate your detail-oriented approach.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Fraud Data Analyst – High-Impact, Data-Driven
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you can use these tools to tackle fraud analysis, so don’t hold back on showcasing your experience!
Be Detail-Oriented: Since this role requires a keen eye for detail, ensure your application is free from typos and errors. We appreciate clarity and precision, so take the time to proofread before hitting send!
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to reflect the specific requirements of the Fraud Data Analyst role. Show us why you’re the perfect fit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Selina Finance
✨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, as this will show your practical experience and understanding.
✨Familiarise Yourself with Fraud Prevention Tools
Research the latest fraud prevention tools and technologies that are commonly used in the industry. Being able to discuss these tools and how they can be applied in the role will demonstrate your proactive approach and genuine interest in the field.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your analytical thinking and problem-solving skills. Think of examples from your past experiences where you identified anomalies or improved processes, and be ready to explain your thought process clearly.
✨Showcase Your Detail-Oriented Approach
Since attention to detail is crucial for a Fraud Data Analyst, prepare to highlight instances where your meticulous nature made a difference. Whether it’s catching a small error that led to significant savings or ensuring compliance, share those stories to illustrate your strengths.