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- Tasks: Lead analytics to combat fraud and enhance user safety using machine learning.
- Company: Join Rakuten Viber, a top global app focused on meaningful connections.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and impact.
- Why this job: Make a real difference in user experience while working with cutting-edge technology.
- Qualifications: 7+ years in fraud analytics, strong coding skills, and a relevant master's degree required.
- Other info: Ideal for those passionate about data science and cybersecurity.
The predicted salary is between 72000 - 108000 £ 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.
- 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 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.
- 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.
Director, Analytics- Risk & Fraud employer: Viber
Contact Detail:
Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Analytics- Risk & Fraud
✨Tip Number 1
Network with professionals in the fintech and cyber-tech industries. Attend relevant conferences or webinars where you can meet people who work in analytics, risk, and fraud prevention. Building these connections can provide insights into the role and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in fraud detection and prevention. Stay updated on machine learning advancements and tools like AWS, Python, and SQL, as well as frameworks for anomaly detection. This knowledge will help you speak confidently about your expertise during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed fraud prevention teams and projects in the past. Highlight measurable outcomes, such as reductions in fraud rates or improvements in detection accuracy, to demonstrate your impact in previous roles.
✨Tip Number 4
Research Rakuten Viber's current challenges and initiatives related to analytics and fraud prevention. Tailor your discussions to show how your skills and experiences align with their goals, and be ready to propose innovative ideas that could enhance their existing systems.
We think you need these skills to ace Director, Analytics- Risk & Fraud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, risk management, and fraud prevention. Emphasise your hands-on work with large-scale data and any specific technologies mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your background aligns with Rakuten Viber's mission. Mention specific achievements in fraud detection and analytics that demonstrate your capability.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and AWS cloud in your application. Provide examples of projects where you applied these skills to solve real-world problems, particularly in fraud detection.
Highlight Leadership Experience: Since this is a senior management position, detail your experience in leading teams and collaborating across departments. Use specific examples to illustrate how you've driven strategic goals and improved business outcomes.
How to prepare for a job interview at Viber
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with machine learning, Python, SQL, and AWS. Highlight specific projects where you've successfully implemented fraud detection systems or optimised analytics processes.
✨Demonstrate Leadership Skills
As a senior manager, it's crucial to illustrate your ability to lead teams and align different divisions. Share examples of how you've fostered collaboration among various departments to achieve shared goals in previous roles.
✨Understand Regulatory Compliance
Familiarise yourself with KYC, AML, and other financial regulations relevant to the role. Be ready to discuss how you've ensured compliance in past projects and how you plan to manage fraud risks effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach identifying bad actors or building anomaly detection models, and be ready to articulate your thought process.
