Data Scientist, Risk Analytics & AI Insights

Prudential; Kuala Lumpur; Vor Ort; MYR 120.000 - 180.000; Vollzeit

Zusammenfassung

Prudential Services Asia is seeking a Data Scientist within the Group Technology Risk Management team. The role focuses on leveraging advanced analytics, machine learning, and data science to transform data into actionable insights for risk management and operational efficiency.

You will work with business stakeholders, risk teams, and technology partners to design, develop, and deploy data-driven solutions that strengthen risk monitoring, governance, and reporting across the organization.

Qualifikationen

• The role focuses on designing, developing, and implementing advanced analytics and ML solutions to support risk management.
• Build and maintain scalable data pipelines for data ingestion, cleansing, and integration.
• Create predictive, descriptive, and diagnostic models to identify trends and emerging risks.
• Develop automated reporting, dashboards, and data products for stakeholders.
• Support deployment, monitoring, and continuous improvement of analytical models and AI capabilities.

Aufgaben

• Design, develop, and implement analytics and ML solutions for risk management and business performance.
• Build scalable data pipelines to source, cleanse, transform, and integrate data from multiple sources.
• Develop models to identify trends, patterns, and risks, including AI-enhanced governance insights.
• Create automated reporting and dashboards to provide actionable insights for senior management.
• Collaborate with cross-functional teams to translate requirements into analytical solutions.

Jobbeschreibung

Prudential Services Asia is seeking a Data Scientist within the Group Technology Risk Management team. The role focuses on leveraging advanced analytics, machine learning, and data science to transform data into actionable insights for risk management and operational efficiency.

You will work with business stakeholders, risk teams, and technology partners to design, develop, and deploy data-driven solutions that strengthen risk monitoring, governance, and reporting across the organization.