Risk Data Analyst I

Centific; Penang; On-site; MYR 50,000 - 70,000; Full time

Job summary

A technology-driven company located in Penang, Malaysia, is looking for a skilled professional to manage complex risk workflows in ecommerce transactions. The role involves analyzing fraudulent patterns and collaborating with engineering teams to implement new features. Candidates should have strong analytical skills and experience with sensitive customer data management. The position emphasizes continuous improvement and teamwork in an engaging work environment.

Qualifications

• Experience in managing sensitive customer data and adhering to security rules.
• Strong analytical skills and experience in ecommerce transaction systems.
• Ability to develop documentation and train colleagues on new tools.

Responsibilities

• Manage sensitive customer data while adhering to strict security and privacy rules.
• Identify and analyze fraudulent patterns in ecommerce transactions.
• Propose preventive measures and process enhancements.

Skills

Understanding complex risk workflows

Analyzing fraudulent patterns

Statistical methods

Decision making using platform tools

Collaboration with engineering teams

Job description

At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills,

and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people—from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed.

The Job

• Understanding complex risk workflows in ecommerce transaction system.
• Manage sensitive customer data while adhering to strict security and privacy rule.
• Identifying and analyzing fraudulent patterns.
• Using platform tools in decision making on consumer and commercial transaction. In addition, apply preventive measures.
• Adhering to platform KPIs related to accuracy, decision time and productivity.
• Using advance statistical methods to unravel deep insights.
• Develop documentation, coordinating and implementing guidelines, training and helping colleagues with new tools onboarding.
• Propose preventive measures, process enhancements, and improve tool functionality.
• Actively work with business owners and engineering teams to deploy new features and predictive models into production.
• Provide root cause analysis and participate in meetings with senior team members from other operational divisions, engineering and data science teams.

Join a growing company using technology to help tackle enterprises’ toughest challenges.