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- Tasks: Analyse datasets to enhance fraud detection and identify suspicious patterns.
- Company: Leading global insurance provider based in London.
- Benefits: Engaging office environment with a focus on professional development.
- Why this job: Make a real impact in fraud prevention using data-driven insights.
- Qualifications: Background in IT/business analysis and experience with SQL and Python.
- Other info: Collaborative team atmosphere with opportunities for growth.
The predicted salary is between 36000 - 60000 £ 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and fraud analysis sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving SQL and Python. This will give you an edge and demonstrate your problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common fraud detection scenarios. Be ready to discuss how you've used data to identify patterns in past experiences. We want you to shine and show how you can contribute to their fraud prevention efforts!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to make a difference in the world of insurance risk.
We think you need these skills to ace Global Fraud Analyst: Data-Driven Insurance Risk in London
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 come up with innovative solutions, so don’t hold back on sharing your success stories!
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 to join 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, especially in relation to fraud detection or data analysis.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific instances where your analytical skills led to successful outcomes, particularly in fraud prevention or risk assessment.
✨Understand the Company’s Focus
Research the insurance provider's approach to fraud prevention. Familiarise yourself with their current models and any recent news related to their efforts in this area. This will show your genuine interest and help you ask insightful questions.
✨Engage in Collaborative Scenarios
Since the role involves collaboration, be prepared to discuss how you work in teams. Share experiences where you contributed to group projects, especially those that required cross-functional teamwork to solve fraud-related issues.
