MLOps Engineer (Assistant Manager) – Credit Risk

AEON Credit Service (M) Bhd; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

AEON Credit Service (M) Berhad is seeking an experienced MLOps Engineer to join the Credit Modelling & Data Management team in Malaysia. You will deploy, monitor, and maintain credit risk scorecard models in production, ensuring stability, audit-readiness and reliable operation.

Focus areas include data pipelines for scorecard inputs, CI/CD support, model versioning, and monitoring of DataRobot and AWS SageMaker deployments.

Qualifications

• Bachelor's Degree in Computer Science, Data Analytics, Software Engineering, Information Systems or related discipline.
• Minimum 5 years of experience in MLOps, Machine Learning Platform Engineering or Model Deployment.
• Hands-on experience with DataRobot (or similar AutoML/MLOps platform).
• Experience with AWS (SageMaker, Redshift or equivalent cloud technologies).
• Strong SQL and data pipeline (ETL/ELT) experience.
• Knowledge of CI/CD, model versioning and production deployment.

Responsibilities

• Deploy, monitor, and maintain credit risk scorecard models in production.
• Design, build, and maintain scalable pipelines that prepare/refresh scorecard inputs from source systems into DataRobot & AWS SageMaker.
• Implement data quality checks and transformation logic to ensure input-data consistency with development-time data.
• Automate ETL/ELT workflows and monitor pipeline performance for timely score generation.
• Support CI/CD for scorecard releases and maintain deployment documentation.

Skills

DataRobot

AWS SageMaker

SQL

CI/CD

Model versioning

Production deployment

Education

Bachelor's Degree (CS/IS/Engineering)

Tools

DataRobot

AWS SageMaker

Job description

We are looking for an experienced MLOps Engineer to join our Credit Modelling & Data Management team. This role is responsible for deploying, monitoring and maintaining credit risk scorecard models in production, ensuring models remain stable, reliable and audit-ready. This is not a Data Scientist or Software Developer role. We are looking for someone with hands-on experience in MLOps, model deployment, cloud platforms and production model monitoring.

Data pipeline engineering for scorecard inputs

Design, build, and maintain scalable pipelines that prepare and refresh scorecard input variables from source systems (LOS, CBS, CCRIS) into DataRobot & AWS Sagemaker, ensuring inputs match the feature definitions used at model development time

Implement data quality checks, reconciliation routines, and transformation logic so that scoring-time data is provably consistent with development-time data (a common source of silent scorecard degradation).

Automate ETL/ELT workflows feeding scheduled and on-demand scoring runs, and monitor/troubleshoot pipeline failures or latency issues that could delay or corrupt score generation.

Deploy validated scorecards (DataRobot-hosted and in-house) into production scoring environments, following sign-off from Model Validation.

Own model versioning and the model registry for all scorecards, maintaining a clear, auditable record of which model version is live, when it was promoted, and what it replaced.

Support CI/CD for scorecard releases across development, UAT, and production environments, including rollback procedures if a deployed scorecard needs to be reverted.

Configure and operate DataRobot's native MLOps monitoring (accuracy, data drift, service health) for DataRobot-hosted scorecards.

Build and maintain custom monitoring for in-house scorecards (e.g. B-Score) that sit outside DataRobot's MLOps tooling, since these have no native platform monitoring.

Scorecard-specific performance & stability monitoring

Track Population Stability Index (PSI) and Characteristic Stability Index (CSI) on a defined cadence for each live scorecard, flagging breaches against agreed thresholds.

Monitor score band distribution drift, escalating deterioration patterns to Data Science and business stakeholders.

Execute and report on champion - challenger comparisons where multiple scorecards or score versions are running in parallel (e.g. B-Score use cases, DataRobot score vs. in-house models).

Maintain a defined set of retraining/recalibration triggers (e.g. sustained PSI breach, performance decay past threshold) and raise a formal flag to Data Science and Model Validation when a trigger is hit, this role identifies the trigger; it does not decide whether to retrain or redevelop.

Maintain deployment and monitoring documentation to a standard that satisfies Group Audit and regulatory review version history, monitoring logs, incident/rollback records.

Ensure segregation-of-duties boundaries are respected in practice: this role does not set or change score cutoffs, risk appetite thresholds, or approval strategies, and does not sign off on model validation those remain with Business/Underwriting and Model Validation respectively.

Support Model Validation and Internal/Group Audit with technical evidence during scorecard reviews and audits.

Stakeholder collaboration

Work with Data Scientists to understand model logic, feature engineering, and validation findings well enough to operationalise models faithfully and monitor the right things.

Work with the BI and ITG BA to ensure deployed scores land correctly in upstream origination/decisioning systems and business rules.

Provide clear, non-technical status updates on scorecard health (deployment status, stability, flagged risks) to the Head of Credit Modelling & Analytics for use in management/committee reporting.

Requirement:

Bachelor's Degree in Computer Science, Data Analytics, Software Engineering, Information Systems or related discipline.

Minimum 5 years of experience in MLOps, Machine Learning Platform Engineering or Model Deployment.

Hands-on experience with DataRobot (or similar AutoML/MLOps platform).

Experience with AWS (SageMaker, Redshift or equivalent cloud technologies).

Strong SQL and data pipeline (ETL/ELT) experience.

Knowledge of CI/CD, model versioning and production deployment.

Experience in banking, financial services or credit risk analytics will be an added advantage.

Good communication skills with the ability to explain technical findings to business stakeholders

AEON Credit Service (M) Berhad is a leading consumer financing provider with business operations in Japan, Malaysia, Hong Kong, Thailand, Taiwan and China. We established a strong presence in Malaysia since 1996 with a wide range of consumer financial services. Our portfolio currently includes credit card, personal financing and easy payment scheme which help enrich the livelihood of many Malaysians.

We offer an exciting and dynamic workplace for all employees. As part of our expansion plan, we are on the lookout for talented individuals who strive for excellence. If you are visionary go-getter, come join us today. Together, we can shape a promising and satisfying career path.

AEON Credit Service (M) Berhad is a leading consumer financing provider with business operations in Japan, Malaysia, Hong Kong, Thailand, Taiwan and China. We established a strong presence in Malaysia since 1996 with a wide range of consumer financial services. Our portfolio currently includes credit card, personal financing and easy payment scheme which help enrich the livelihood of many Malaysians.

We offer an exciting and dynamic workplace for all employees. As part of our expansion plan, we are on the lookout for talented individuals who strive for excellence. If you are visionary go-getter, come join us today. Together, we can shape a promising and satisfying career path.