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Risk Engineering Architect - Payment (ML/DS background)

Jakarta Permanent View Job Description
Create scalable frameworks that convert risk strategies into engineering solutions.Define best practices for monitoring, detecting, and mitigating fraud.
  • Develop cutting-edge tech solutions for risk management
  • Act as a Subject Matter Expert for risk engineering & analytics

About Our Client

Our client is a leading payment company integrated with various integrations across businesses.

Job Description



  • Collaborate cross-teams & departments to develop real-time risk decisioning systems.


  • Create scalable frameworks that convert risk strategies into engineering solutions.


  • Define best practices for monitoring, detecting, and mitigating fraud.


  • Create machine learning models for fraud detection in payments.


  • Use time-series methods to anticipate risk and fraud patterns.


  • Partner with data scientists to enhance prediction accuracy.


  • Build clear workflows for handling compromised accounts (e.g., ATO).


  • Define resolution steps, exit criteria, and user recovery processes.


  • Improve fraud response while maintaining a smooth customer experience.


  • Investigate false positives/negatives in detection systems.


  • Continuously refine rules and models using live feedback and develop adaptive risk scoring to stay ahead of emerging threats.



The Successful Applicant



  • Strong backend engineering or real-time systems experience.


  • Deep understanding of risk analysis, fraud detection, and anomaly detection and familiarity machine learning for fraud prevention and forecasting.


  • Proven track record in building scalable, automated risk systems, with 10+ years in risk engineering, fraud analytics, or security engineering.


  • Solid experience in risk, fraud, and payment security.


  • Skilled in working across risk, engineering, and data teams.


  • Strong analytical and problem-solving mindset.



What's on Offer

Opportunity to create cutting-edge technology solutions for risk management

Grow risk analytics practices for diverse financial technology product portfolio

Contact
Dyah Alya Gretiana
Quote job ref
JN-032025-6701873
Phone number
+62 21 2958 8817

Job summary

Function
Information Technology
Sub Sector
Business Intelligence
What is your area of specialisation?
Financial Services
Location
Jakarta
Contract Type
Permanent
Consultant name
Dyah Alya Gretiana
Consultant contact
+62 21 2958 8817
Job Reference
JN-032025-6701873

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.