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- Tasks: Lead fraud detection systems development using machine learning and collaborate across teams.
- 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 environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in fintech by solving fraud challenges at scale.
- Qualifications: 7+ years in fintech fraud, strong coding skills in Python and SQL, and a Master's degree.
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.
Manager - Data Management in London employer: Rakuten Viber
Contact Detail:
Rakuten Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager - Data Management in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their mission, especially around fraud prevention and data management.
✨Tip Number 3
Showcase your skills! Bring examples of your past work, especially any projects related to fraud detection or machine learning. Real-world results speak volumes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Manager - Data Management in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Manager - Data Management. Highlight your experience in fintech and fraud prevention, and don’t forget to showcase your technical skills in Python, SQL, and AWS. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud operations and how your experience can help us make meaningful connections for our users. Keep it engaging and relevant to the job description.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your impact. Whether it’s reducing fraud rates or optimising systems, we love to see quantifiable results that show how you’ve made a difference in previous positions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Rakuten Viber!
How to prepare for a job interview at Rakuten Viber
✨Know Your Data Inside Out
Make sure you’re well-versed in the data management aspects relevant to fraud detection. Brush up on your experience with machine learning models and how they can be applied to real-world problems, especially in fintech. Be ready to discuss specific examples where you've optimised fraud detection systems.
✨Align with Company Goals
Understand Rakuten Viber's mission and how your role as a Manager - Data Management fits into their broader objectives. Prepare to articulate how your past experiences align with their strategic business KPIs and how you can lead teams towards shared goals.
✨Showcase Your Technical Skills
Be prepared to dive deep into your technical expertise, especially in Python, SQL, and AWS. Have examples ready that demonstrate your ability to write readable and maintainable code, and discuss any projects where you’ve deployed solutions to production with measurable impact.
✨Prepare for Collaborative Scenarios
Since this role involves working closely with various teams, think of examples that showcase your collaborative skills. Be ready to discuss how you’ve successfully aligned different divisions in previous roles and how you can facilitate communication between management, product, engineering, and compliance teams.