At a Glance
- Tasks: Lead fraud detection systems using machine learning and collaborate across teams to implement solutions.
- 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 fintech environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by preventing fraud and enhancing user safety on a global scale.
- Qualifications: 7+ years in fraud management, strong coding skills in Python and SQL, and a relevant master's degree.
The predicted salary is between 90000 - 120000 € per year.
Overview
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 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.
- 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 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.
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 employer: Rakuten Viber
Rakuten Viber is an exceptional employer that fosters a dynamic and collaborative work culture, empowering employees to make a significant impact on the lives of millions through innovative technology. With a strong focus on professional growth, employees are encouraged to develop their skills in a fast-paced fintech environment, while enjoying the unique advantage of working with extensive data to tackle real-world challenges. The company's commitment to meaningful connections and adherence to financial regulations ensures a rewarding and fulfilling career for those passionate about fraud prevention and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Operations Director, Fintech
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at Rakuten Viber or similar companies. Use LinkedIn to connect and engage with them; you never know who might have an inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves fraud detection systems and machine learning, be ready to discuss your experience with Python, SQL, and AWS. Practice explaining complex concepts in simple terms to show your expertise.
✨Tip Number 3
Showcase your impact! When discussing your past roles, focus on specific achievements, like how you reduced fraud rates or improved detection models. Use metrics to back up your claims; numbers speak volumes in this industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Rakuten Viber. Let’s make those meaningful connections happen!
We think you need these skills to ace Fraud Operations Director, Fintech
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Fraud Operations Director role. Highlight your experience with fraud detection systems and any relevant projects you've led. 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 accuracy. Numbers speak volumes to us!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for fintech and how your background makes you the perfect fit for our team. We love seeing genuine enthusiasm and a clear understanding of our goals.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Rakuten Viber
✨Know Your Numbers
Make sure you’re familiar with key metrics related to fraud detection and prevention. Be ready to discuss your experience with handling large datasets, especially if you've worked with over 1 million transactions a day. This will show that you understand the scale of the operations and can handle the demands of the role.
✨Showcase Your Technical Skills
Brush up on your Python, SQL, and AWS knowledge before the interview. Be prepared to discuss specific projects where you’ve implemented machine learning models or rule-based engines for fraud detection. Highlight any experience you have with technologies like Athena, Spark, or Tableau, as these are relevant to the position.
✨Collaboration is Key
Since this role involves working closely with various teams, be ready to share examples of how you’ve successfully collaborated with management, product, engineering, and compliance teams in the past. Emphasise your ability to create alignment across divisions and lead teams towards shared goals.
✨Understand Regulatory Compliance
Familiarise yourself with KYC, AML, and other financial regulations that impact fraud prevention. Be prepared to discuss how you’ve ensured adherence to these regulations in your previous roles, as this will demonstrate your understanding of the compliance landscape in fintech.
