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- Tasks: Lead fraud detection optimisation using machine learning and coordinate with teams for comprehensive solutions.
- Company: Global communication platform focused on innovation and compliance.
- Benefits: Competitive salary, career advancement, and the chance to make impactful decisions.
- Why this job: Join a high-scale environment and shape the future of fraud analytics.
- Qualifications: 7+ years in fraud detection, strong skills in Python, SQL, AWS, and a Master’s degree.
- Other info: Opportunity to work in a dynamic, fast-paced industry.
The predicted salary is between 48000 - 72000 £ per year.
A global communication platform is seeking a Director in Analytics to lead the optimization of fraud detection systems using machine learning. The successful candidate will coordinate with various teams to implement comprehensive fraud solutions and ensure compliance with financial regulations.
Applicants should have over 7 years of direct experience in fraud detection, with a strong technical background in Python, SQL, and AWS, along with a Master’s degree. This position offers a unique chance to make impactful business decisions in a high-scale environment.
Director of Fraud Analytics & Risk — ML-Driven & Scalable employer: Rakuten Viber
Contact Detail:
Rakuten Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Fraud Analytics & Risk — ML-Driven & Scalable
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in fraud analytics or related fields. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with machine learning in fraud detection. This will help you stand out and demonstrate your expertise in a tangible way.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to fraud analytics and risk management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application better.
We think you need these skills to ace Director of Fraud Analytics & Risk — ML-Driven & Scalable
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fraud detection and analytics. We want to see how your skills in Python, SQL, and AWS shine through, so don’t hold back on showcasing your technical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've optimised fraud detection systems in the past and how your leadership has made a difference.
Showcase Your Teamwork Skills: Since this role involves coordinating with various teams, it’s essential to highlight your collaborative experiences. Let us know how you’ve worked with others to implement successful fraud solutions in your previous roles.
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 during the process!
How to prepare for a job interview at Rakuten Viber
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and AWS. Be ready to discuss how you've used these tools in past roles, particularly in fraud detection and analytics.
✨Showcase Your Experience
With over 7 years of experience required, prepare specific examples of your previous work in fraud detection. Highlight any successful projects where you implemented machine learning solutions and the impact they had on the business.
✨Understand the Business
Research the company’s current fraud detection systems and any recent news related to their compliance with financial regulations. This will help you demonstrate your understanding of their needs and how you can contribute to their goals.
✨Collaborative Mindset
Since this role involves coordinating with various teams, be prepared to discuss your experience working cross-functionally. Share examples of how you’ve successfully collaborated with different departments to implement comprehensive fraud solutions.