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- Tasks: Lead the development of fraud detection systems using machine learning and data analytics.
- Company: Join Rakuten Viber, a leading app with millions of users worldwide.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex problems and enhancing user safety.
- Qualifications: 7+ years in fraud prevention, strong coding skills in Python and SQL.
- Other info: Collaborative environment with a focus on innovation and strategic goals.
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 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.
- 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, Data Analytics - Risk & Fraud employer: Viber
Contact Detail:
Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Data Analytics - Risk & Fraud
✨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 analytics.
✨Tip Number 3
Showcase your skills with real examples. When discussing your experience, highlight specific projects where you’ve successfully tackled spam and fraud issues. Numbers speak volumes!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can make a difference, so get your application in and let’s make an impact together.
We think you need these skills to ace Director, Data Analytics - Risk & Fraud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Director, Data Analytics - Risk & Fraud. Highlight your experience with spam and fraud detection systems, and don’t forget to showcase your leadership skills in managing teams and projects.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your background aligns with our mission at Rakuten Viber. Be specific about your achievements in fraud prevention and risk management.
Showcase Your Technical Skills: We want to see your technical prowess! Make sure to include your experience with Python, SQL, and AWS cloud in your application. If you’ve worked with machine learning models or anomaly detection, shout about it!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Viber
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics landscape, especially around spam and fraud detection. Brush up on your experience with machine learning models and be ready to discuss specific projects where you've made a significant impact.
✨Align with Their Mission
Rakuten Viber is all about making meaningful connections. During the interview, highlight how your work in data analytics can contribute to this mission. Show them you understand their goals and how your skills can help achieve them.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around Python, SQL, and AWS. Be prepared to explain your coding practices and how you ensure your code is readable and maintainable. Maybe even bring a code sample to discuss!
✨Show Leadership Skills
As a senior manager, they’ll want to see your leadership style. Prepare examples of how you’ve led teams to success, particularly in cross-functional environments. Discuss how you align different divisions towards common goals and drive collaboration.