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- Tasks: Analyze fraud data, create reports, and develop counter-fraud solutions.
- Company: Join a dynamic team focused on combating fraud and enhancing data integrity.
- Benefits: Enjoy a competitive salary, Monday to Friday hours, and a collaborative work environment.
- Why this job: Make a real impact in fraud prevention while developing your analytical skills.
- Qualifications: Strong analytical skills and experience with data manipulation are essential.
- Other info: Opportunity to work closely with the counter fraud department and influence strategy.
The predicted salary is between 30000 - 35000 £ per year.
As a Fraud Data Analyst within the Intelligence Team, you will be working with counter fraud databases, counter fraud rules, data analysis, and MI reporting. You will be working closely with the counter fraud department to produce and manage a wide range of fraud performance based data extracts. Your skill set will support the decision making of our company’s counter fraud strategy from point-of-quote through to claims. Job Title: Fraud Data Analyst Location: Sevenoaks Salary: £30,000 – £35,000 Working hours : 37.5 hours per week, Monday to Friday, 9am to 5:30pm What you will be doing: To produce MI reports which provide insights such as trends, benchmarks, false positives, and fraud rates To manipulate, analyse and interpret complex data sets extracted from a range of claim, policy and fraud systems To create data dashboards, graphs, and visualisations To assist in the promotion of data integrity across the business Contribute to the continued optimisation of fraud products & controls Provide continued feedback and analysis of counter fraud rule sets and risk models To understand the fraud landscape and develop counter-fraud solutions Ensure strict adherence to company policies such as TCF, GDPR and FCA regulations What we are looking for:
Fraud Data Analyst employer: Acorn insurance & Financial Services LTD
Contact Detail:
Acorn insurance & Financial Services LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Data Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in fraud detection and prevention. Understanding the current landscape will help you demonstrate your knowledge during interviews and show that you're proactive about staying informed.
✨Tip Number 2
Brush up on your data analysis skills, especially with tools like SQL, Python, or R. Being able to manipulate and analyze complex datasets is crucial for this role, so showcasing your technical abilities can set you apart.
✨Tip Number 3
Prepare examples of how you've used data to drive decision-making in previous roles. Having concrete instances where your analysis led to actionable insights will illustrate your value to the team.
✨Tip Number 4
Network with professionals in the fraud analytics field. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, making it easier to land an interview with us.
We think you need these skills to ace Fraud Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Fraud Data Analyst position. Understand the key responsibilities and required skills, such as data analysis, MI reporting, and knowledge of counter fraud strategies.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your proficiency in data manipulation, analysis, and any experience with fraud detection or reporting.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data analysis and fraud prevention. Mention specific examples of how your previous work has contributed to similar goals and how you can add value to their team.
Highlight Technical Skills: In your application, be sure to mention any technical skills relevant to the role, such as experience with data visualization tools, databases, and programming languages used in data analysis. This will demonstrate your capability to handle the tasks outlined in the job description.
How to prepare for a job interview at Acorn insurance & Financial Services LTD
✨Understand the Fraud Landscape
Make sure to familiarize yourself with current trends and challenges in fraud detection. Being able to discuss recent fraud cases or emerging threats will show your knowledge and interest in the field.
✨Showcase Your Data Skills
Prepare to discuss your experience with data analysis, especially with complex datasets. Be ready to provide examples of how you've manipulated and interpreted data in previous roles.
✨Prepare for Technical Questions
Expect questions related to MI reporting and data visualization tools. Brush up on your knowledge of software and techniques used in creating dashboards and reports, as this will be crucial for the role.
✨Demonstrate Compliance Awareness
Since adherence to policies like GDPR and FCA regulations is essential, be prepared to discuss how you have ensured compliance in your past work. This will highlight your understanding of the regulatory environment in which the company operates.
