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- Tasks: Analyse data to enhance fraud detection and identify suspicious patterns.
- Company: Leading global insurance provider based in London.
- Benefits: Engaging office environment, professional development, and collaborative culture.
- Why this job: Make a real impact in fraud prevention using your analytical skills.
- Qualifications: Background in IT/business analysis with skills in SQL and Python.
- Other info: Great opportunity for career growth in a dynamic industry.
The predicted salary is between 28800 - 48000 £ per year.
A leading global insurance provider in London is seeking a detail-oriented Business Analyst to analyze datasets and contribute to fraud prevention efforts. The role involves leveraging data to enhance fraud detection models and identify suspicious patterns.
Ideal candidates have a background in IT/business analysis, experience with analytical tools such as SQL and Python, and possess strong problem-solving skills.
This position offers collaboration in an engaging office environment with a focus on professional development.
Global Fraud Analyst: Data-Driven Insurance Risk employer: AIG
Contact Detail:
AIG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Fraud Analyst: Data-Driven Insurance Risk
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and fraud analysis sectors on LinkedIn. A friendly message can open doors and lead to valuable insights or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those using SQL and Python. 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 detection scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process.
✨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 over other candidates.
We think you need these skills to ace Global Fraud Analyst: Data-Driven Insurance Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with analytical tools like SQL and Python. We want to see how your skills align with the role of a Global Fraud Analyst, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud prevention and how your background in IT/business analysis makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using data. We love candidates who can think critically and creatively, so share those success stories that demonstrate your analytical prowess!
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at AIG
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Understand Fraud Detection Models
Familiarise yourself with common fraud detection models and techniques. Being able to discuss how you would enhance these models using data will demonstrate your analytical mindset and problem-solving abilities.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to analyse a dataset or identify suspicious patterns. Practise explaining your thought process clearly, as this will highlight your analytical skills and attention to detail.
✨Show Enthusiasm for Collaboration
Since the role involves working in a team, express your enthusiasm for collaboration. Share examples of how you've successfully worked with others in the past, as this will align with the company's focus on an engaging office environment.
