Senior Assistant Manager/ Assistant Manager, Risk Analytics and Intelligence

Singapore General Hospital; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Singapore General Hospital Pte Ltd. is seeking an Assistant Manager / Senior Assistant Manager, Risk Analytics and Intelligence.

You will support SGH's data infrastructure, dashboards and analytical models that help senior leadership make well-informed, risk-aware decisions. Key responsibilities include designing and maintaining risk dashboards and models, developing and governing data pipelines, applying statistical analysis and machine learning to identify risk signals, and collaborating with

Qualifications

• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, Information Systems or a related discipline.
• Postgraduate qualifications in Data Science or Analytics, and professional certifications in data analytics, BI or risk management will be advantageous.
• Minimum 3 to 5 years of relevant experience in data analytics, BI or data science, preferably in healthcare or public sector.
• Experience in data visualization tools such as Power BI or Tableau, and in at least one programming language such as Python, R or SQL.
• Familiarity with building and maintaining data pipelines, data models and analytics infrastructure.
• Experience in applying statistical and data science methods to complex datasets.
• Familiarity with machine learning techniques, healthcare data systems, incident management systems or enterprise risk management platforms would be an advantage.
• Strong data storytelling skills — the ability to translate complex analytical outputs into clear insights for non-technical senior audiences.

Responsibilities

• Design, build and maintain risk dashboards and analytical models for the ERM Council and Senior Leadership, ensuring outputs are visually clear, analytically rigorous and regularly updated.
• Develop and maintain data pipelines that integrate risk data from across the organisation into a governed analytics environment.
• Apply statistical analysis, data visualization and machine learning techniques to identify risk patterns, trends and emerging signals across SGH's risk domains.
• Develop scenario analysis and stress-testing models to support assessments of emerging risks and strategic decisions.
• Own data quality assurance and governance processes for the Risk Office's core data assets, and develop data standards and governance protocols for risk data.
• Contribute data-driven analysis to the annual emerging risk landscape review across clinical, operational and external risk domains.
• Collaborate with the Risk Culture and Integration arm to ensure enterprise risk register data is well-structured and usable, and provide data visualization support for risk culture metrics and training data.
• Represent the Risk Office in cross-functional data, analytics and technology workgroups, and support special projects and ad hoc assignments.

Skills

Data storytelling

Communication

Education

Bachelor's degree in Data Science/Statistics/CS/Applied Math

Postgraduate qualification in Data Science/Analytics

Tools

Power BI

Tableau

Python

R

SQL

Job description

The Assistant Manager / Senior Assistant Manager, Risk Analytics and Intelligence supports the delivery of SGH's data infrastructure, dashboards and analytical models that help senior leadership make well-informed, risk-aware decisions.

The job responsibilities include the following:

• Design, build and maintain risk intelligence dashboards and analytical models for the ERM Council and Senior Leadership, ensuring outputs are visually clear, analytically rigorous and regularly updated.
• Develop and maintain data pipelines that integrate risk data from across the organisation — including the enterprise risk register, incident management systems and operational data sources — into a well-governed analytics environment.
• Apply statistical analysis, data visualisation and machine learning techniques to identify risk patterns, trends and emerging signals across SGH's risk domains.
• Develop scenario analysis and stress-testing models to support assessments of emerging risks and strategic decisions.
• Own data quality assurance and governance processes for the Risk Office's core data assets, and develop data standards and governance protocols for risk data across SGH.
• Contribute data-driven analysis to the annual emerging risk landscape review, covering clinical, operational and external risk domains.
• Collaborate closely with the Risk Culture and Integration arm to ensure enterprise risk register data is well-structured and analytically usable, and provide data visualisation support for risk culture metrics and training data.
• Represent the Risk Office in cross-functional data, analytics and technology workgroups, and support special projects and ad hoc assignments as directed.

Job Requirements:

• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, Information Systems or a related discipline.
• Postgraduate qualifications in Data Science or Analytics, and professional certifications in data analytics, business intelligence or risk management will be advantageous.

• Minimum 3 to 5 years of relevant experience in data analytics, business intelligence or data science, preferably in a healthcare or public sector context.
• Experience in data visualisation tools such as Power BI or Tableau, and in at least one programming language such as Python, R or SQL.
• Familiarity with building and maintaining data pipelines, data models and analytics infrastructure.
• Experience in applying apply statistical and data science methods to complex datasets.
• Familiarity with machine learning techniques, healthcare data systems, incident management systems or enterprise risk management platforms would be an advantage.
• Strong data storytelling skills — the ability to translate complex analytical outputs into clear insights for non-technical senior audiences.