At a Glance
- Tasks: Lead fraud detection systems development using machine learning and collaborate across teams.
- Company: Join Rakuten Viber, a leading app transforming user connections worldwide.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with significant influence on business outcomes and career advancement.
- 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.
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 City of London employer: Rakuten Viber
Rakuten Viber is an exceptional employer that offers a dynamic and collaborative work environment, where you can make a significant impact on the lives of millions through innovative data management solutions. With a strong focus on employee growth and development, we provide opportunities to work with cutting-edge technologies and engage in meaningful projects that drive our mission forward. Our culture promotes teamwork and creativity, ensuring that every team member feels valued and empowered to contribute to our success.
StudySmarter Expert Advice🤫
We think this is how you could land Manager - Data Management in City of 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
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects, especially those related to fraud detection and data management. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to fintech and fraud operations. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 about their job search!
We think you need these skills to ace Manager - Data Management in City of 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 detection 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 landscape, especially in fintech. Brush up on your experience with fraud detection systems and be ready to discuss specific projects where you’ve used machine learning or rule-based engines to tackle fraud.
✨Showcase Your Leadership Skills
As a senior manager, it’s crucial to demonstrate your ability to lead teams and align different divisions. Prepare examples of how you’ve successfully collaborated with product, engineering, and compliance teams to implement fraud solutions that had a measurable impact.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions about Python, SQL, and AWS. Have examples ready that showcase your coding skills and your ability to write maintainable code. You might even want to brush up on technologies like Athena/Trino and Spark.
✨Understand the Business Impact
It’s not just about the tech; you need to understand how your work impacts the business. Be prepared to discuss KPIs you’ve focused on in previous roles and how your fraud prevention strategies have led to tangible results, like reducing fraud actors at scale.
