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- Tasks: Lead fraud detection systems 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 solving fraud challenges in a dynamic fintech environment.
- Qualifications: 7+ years in fraud prevention, strong coding skills, and a relevant master's degree.
- Other info: Work with cutting-edge technology and be part of a mission-driven team.
The predicted salary is between 80000 - 100000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.
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 Director in Analytics, 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 spam and 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.
- Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
- Leverage the extensive data received from our application to enhance model performance and accuracy.
Requirements:
- 7+ years of experience in hands-on working on spam and 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 Spam, fraud prevention and risk teams at a corporation, preferably 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 data science or cybersecurity with a focus on spam and fraud.
- Proven track record of reducing fraud and spam actors at scale, with strong type-1 and type-2 error estimates.
- Strong understanding of hypothesis testing and RCT.
- Background in applied statistics.
- Working in high scales of >10MM transactions/day.
- Experience working with technologies like Athena/Trino, Spark, AML, CI/CD, and Tableau.
Fraud Operations Director, Fintech in London employer: Viber
Contact Detail:
Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Operations Director, Fintech in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Prepare for interviews by practising common questions related to fraud operations and analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or case studies. If you've worked on fraud detection systems or data analysis, create a portfolio that highlights your achievements. This can really impress potential employers!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities in fintech, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Fraud Operations Director, Fintech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Fraud Operations Director role. Highlight your experience with spam and fraud detection, especially if you've worked with large-scale data. We want to see how your skills align 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 fintech and how your background makes you the perfect fit for this role. Let us know how you can help us make meaningful connections.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in Python, SQL, and AWS. We’re looking for someone who can write readable code and has hands-on experience with machine learning. Make sure we see that in your application!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy!
How to prepare for a job interview at Viber
✨Know Your Stuff
Make sure you brush up on your knowledge of fraud detection systems and machine learning. Be ready to discuss specific projects you've worked on, especially those involving large-scale data. This will show that you not only understand the theory but also have practical experience.
✨Show Your Leadership Skills
As a Director, you'll need to demonstrate your ability to lead teams and align different departments. Prepare examples of how you've successfully managed cross-functional teams in the past, focusing on collaboration and achieving shared goals.
✨Understand the Regulations
Familiarise yourself with KYC, AML, and other financial regulations relevant to the fintech industry. Being able to discuss how you've ensured compliance in previous roles will highlight your expertise and commitment to managing fraud risks effectively.
✨Data-Driven Decision Making
Be prepared to talk about how you've leveraged data to enhance model performance and accuracy. Discuss specific metrics or KPIs you've used to measure success in your previous roles, as this will demonstrate your analytical mindset and results-oriented approach.