CareerPlan

Data Scientist - Risk Analytics

Kuala Lumpur (Group Head Office), MYFull-time2026-10-08 → 2026-11-10

Core

Design, develop, and deploy advanced analytics and machine learning solutions to enhance risk management, operational efficiency, and strategic decision-making.

Role type

Data Scientist (Risk Analytics)

Builds

Predictive, descriptive, and diagnostic models; automated reporting dashboards; scalable data pipelines; GenAI and agentic AI solutions.

Domain

Financial Services / Risk Management

Deliverable

production ML models

Required skills

Machine learning, data pipeline development, predictive modeling, GenAI, agentic AI, data analysis, dashboard development, cross-functional collaboration

Preferred skills

None stated

Technologies

None stated

Responsibilities

Design and implement advanced analytics and ML solutions for risk management; build and maintain scalable data pipelines; develop automated reporting and dashboards; analyze complex datasets to identify compliance risks; collaborate with stakeholders to translate business requirements into analytical solutions; support deployment and monitoring of AI-driven capabilities.

Seniority

Mid-level, hands-on IC