Director, Analytics- Risk & Fraud

Viber; London; On-site; GBP 80,000 - 130,000; Full time

Job summary

Join an innovative firm as a Director in Analytics, where your expertise in machine learning and fraud detection will shape the future of a super-app used by millions. In this pivotal role, you will leverage extensive data to develop high-impact solutions that enhance security and user experience. Collaborate with cross-functional teams to align on strategic goals and drive meaningful outcomes. Your leadership will guide a talented team in tackling complex challenges in fraud prevention and risk management, making a significant difference in the digital landscape. This is an exciting opportunity to influence the direction of an industry leader.

Qualifications

• 7+ years of experience in spam and fraud detection at scale.
• 3+ years managing fraud prevention and risk teams in fintech.
• Strong coding skills in Python and SQL.

Responsibilities

• Lead development of spam and fraud detection systems.
• Collaborate with teams to implement end-to-end fraud solutions.
• Ensure compliance with KYC, AML, and financial regulations.

Skills

Machine Learning

Fraud Detection

Data Analysis

Python

SQL

AWS

Education

Master's degree in Statistics

Master's degree in Finance

Master's degree in Data Science

Master's degree in Computer Science

Tools

AWS

SQL

Python

Tableau

Spark

Athena/Trino

Job description

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Description

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 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.