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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.
- 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 and strong coding skills in Python and SQL.
- Other info: Dynamic environment with a focus on innovation and collaboration.
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 City of London employer: Rakuten Viber
Contact Detail:
Rakuten Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Manager in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies like Rakuten Viber. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since you'll be dealing with machine learning and fraud detection systems, make sure you can talk confidently about your experience with Python, SQL, and AWS. Practice common interview questions related to these areas.
✨Tip Number 3
Showcase your achievements! When you get the chance to chat with potential employers, highlight specific examples of how you've reduced fraud or improved systems in your previous roles. Numbers speak volumes, so bring data to back up your claims.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your passion for making meaningful connections and solving real-world problems in the fintech space.
We think you need these skills to ace Fraud Manager in City of 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 us. 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 track your application status. Plus, we love seeing candidates who take that extra step!
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 with management, product, engineering, and compliance teams in the past. Highlight your ability to align different divisions towards common goals.
✨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.
✨Understand the Bigger Picture
Demonstrate your understanding of strategic business KPIs and how they relate to fraud prevention. Be prepared to talk about how your previous work has contributed to reducing fraud and improving business outcomes, especially in a fintech context.