Moon Active is a leading mobile game company, focused on creating engaging and highly entertaining games for millions of players worldwide. With a talented team of professionals, we strive to deliver innovative and exciting gaming experiences. We are currently looking for a skilled Payment Fraud Team Lead to join our Anti-Fraud department.

As an Anti-Fraud Analytics Team Lead, you will be responsible for overseeing all aspects of payment fraud prevention and detection within Moon Active. In this role, you will combine your exceptional leadership skills with hands-on expertise to guide and support the team (50% hands-on analytical work)

Responsibilities

Lead, manage, and mentor a team of fraud analysts and operation managers, providing guidance and support in their day-to-day activities.
Analyze complex data sets to identify patterns, trends, and anomalies that may indicate fraudulent activity.
Implement and manage fraud detection tools, technologies, and processes to effectively identify and mitigate fraudulent transactions.
Prepare reports and dashboards for management, providing insights into payment fraud trends, key metrics, and team performance.
Collaborate with cross-functional teams, including Legal, Product, RnD, BI, and Customer Support, to investigate and resolve payment fraud cases.

Requirements

Excellent analytical skills, with the ability to interpret complex data, and a high level of SQL.
In-depth knowledge of payment fraud prevention tools, technologies, and industry best practices.
Familiarity with fraud management systems, such as chargeback prevention, account takeover detection, and transaction monitoring tools.
At least 4 years of proven hands-on experience as Fraud Analyst or equivalent role
Bachelor's degree in Industrial Engineering, Information system, Statistics, Economics or related fields
Excellent communication and organizational skills, with the ability to collaborate effectively with cross-functional teams.

Advantages

Proven experience in managing and leading a team, with strong leadership and mentoring skills.
Experience with 24/7 production systems and real-time analytics
Familiarity with Anomaly detection and statistical models