At a Glance
- Tasks: Lead fraud detection systems using machine learning and collaborate across teams to implement solutions.
- Company: Join Rakuten Viber, a leading super-app with millions of users worldwide.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by preventing fraud and enhancing user safety on a global scale.
- Qualifications: 7+ years in fintech fraud management, strong coding skills in Python and SQL.
The predicted salary is between 80000 - 100000 € per year.
Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a Fraud Operations Director in Fintech, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.
Responsibilities:
- Lead the development and optimization of fraud detection systems using machine learning and rule-based engines.
- Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
- Leverage the extensive data received from our application to enhance model performance and accuracy.
Requirements:
- 7+ years of experience in hands-on working on fintech fraud problems at a scale of at least 1MM transactions/events per day, deployed solutions to production with a proven impact.
- 3+ years of experience in managing fraud prevention at a corporation, in fintech or cyber-tech companies with a proven business impact.
- 3+ years of experience in Python, SQL, and AWS cloud. Ability to write readable and maintainable code.
- Master’s degree in Statistics, Finance, Data Science, or Computer Science.
Advantages:
- Background in compliance, KYC, AML and other financial regulations while managing fraud risks.
- Working in high scales of >10MM transactions/day.
- Proven track record of reducing fraud actors at scale, with strong type-1 and type-2 error estimates.
- Experience working with technologies like Athena/Trino, Spark, AML, CI/CD, and Tableau.
Fraud Manager in London employer: Rakuten Viber
Rakuten Viber is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to make a significant impact on the lives of millions through cutting-edge fraud detection solutions. With a strong focus on employee growth, we offer opportunities to develop your skills in a dynamic fintech environment, while our commitment to meaningful connections ensures that your work contributes to a greater purpose. Join us in our mission to create a super-app and enjoy the unique advantages of working in a fast-paced, data-driven setting that values your expertise and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at Rakuten Viber or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview!
✨Tip Number 2
Prepare for the interview by diving deep into fraud detection systems and machine learning models. Brush up on your Python and SQL skills, and be ready to discuss how you've tackled fraud problems in the past. Show us you mean business!
✨Tip Number 3
Don’t just apply anywhere; apply through our website! It shows you're genuinely interested in joining our team. Plus, it gives you a better chance of being noticed by the hiring managers.
✨Tip Number 4
Follow up after your interview! A quick thank-you email can go a long way. It keeps you fresh in their minds and shows your enthusiasm for the role. We love seeing candidates who are proactive!
We think you need these skills to ace Fraud Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Fraud Manager role. Highlight your experience in fintech and fraud prevention, especially any hands-on work with large transaction volumes. We want to see how your skills align with our mission!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics to demonstrate your impact, like how you reduced fraud rates or improved detection systems. Numbers speak louder than words, and we love a good success story!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about fraud prevention and how your background makes you a perfect fit for our team. Keep it engaging and personal – we want to get to know you!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it shows you’re serious about joining us at Rakuten Viber!
How to prepare for a job interview at Rakuten Viber
✨Know Your Stuff
Make sure you brush up on your knowledge of fraud detection systems, especially those using machine learning and rule-based engines. Be ready to discuss specific projects you've worked on, particularly those that involved high transaction volumes and had a measurable impact.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your experience in aligning different divisions towards common goals, as this will demonstrate your leadership capabilities.
✨Data is Key
Familiarise yourself with the types of data you'll be working with and how to leverage it for model performance. Be ready to discuss your experience with Python, SQL, and AWS, and how you've used these tools to enhance fraud detection models in previous roles.
✨Understand the Bigger Picture
It's crucial to understand the strategic business KPIs that drive success in fraud management. Be prepared to talk about how your work has contributed to broader business objectives and how you plan to align your efforts with the company's mission to create meaningful connections.
