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- Tasks: Develop and implement fraud detection strategies for financial services clients.
- Company: Leading global advisory firm with a focus on innovation.
- Benefits: Competitive salary, continuous learning opportunities, and a supportive work environment.
- Why this job: Join a dynamic team tackling emerging fraud trends and make a real difference.
- Qualifications: Experience in fraud detection and proficiency in Python and SQL.
- Other info: Exciting career growth potential in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading global advisory firm is seeking a Senior Fraud Analyst in London. The role involves working closely with financial services clients to develop and implement fraud detection strategies, focusing on emerging fraud trends.
Ideal candidates will have:
- Proven experience in fraud detection
- Strong skills in data analytics tools like Python and SQL
- The ability to communicate effectively with clients
A competitive remuneration package and a commitment to continuous learning make this a compelling opportunity.
Senior Fraud Data Analyst — FinServ Assurance in London employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Fraud Data Analyst — FinServ Assurance in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Fraud Data Analyst role.
✨Tip Number 2
Brush up on your data analytics skills! Make sure you're comfortable with Python and SQL, as these are key tools for the job. Consider doing a quick project or two to showcase your skills when you get the chance to chat with potential employers.
✨Tip Number 3
Prepare for interviews by researching emerging fraud trends. Being able to discuss current issues in fraud detection will show your expertise and passion for the field. Plus, it’ll help you stand out from the crowd!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace your application and connect with top firms looking for talent like yours. Let’s get you that dream job!
We think you need these skills to ace Senior Fraud Data Analyst — FinServ Assurance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fraud detection and data analytics. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Fraud Data Analyst role. Share your passion for tackling fraud trends and how your previous experiences align with our needs in financial services.
Showcase Your Communication Skills: Since this role involves working closely with clients, it’s important to demonstrate your ability to communicate complex data insights clearly. Use examples in your application that highlight your client interaction and presentation skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your Fraud Trends
Make sure you’re up to date with the latest fraud trends in the financial services sector. Research recent cases and be ready to discuss how they could impact clients. This shows your proactive approach and genuine interest in the field.
✨Showcase Your Data Skills
Prepare to demonstrate your proficiency in data analytics tools like Python and SQL. Bring examples of past projects where you used these skills to detect fraud. Being able to talk through your thought process will impress interviewers.
✨Communicate Clearly
Since the role involves client interaction, practice explaining complex data findings in simple terms. Use examples from your experience to illustrate how you’ve effectively communicated with clients in the past.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current fraud detection strategies and future goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.
