AVP, Risk Systems & Analytics – AI-Driven Insights

GIC Private Limited; Singapore; Hybrid; SGD 90,000 - 150,000; Full time

Job summary

GIC Private Limited is seeking a Risk Systems Analyst in Singapore to collaborate with risk managers and technology teams. You will design, validate, and enhance risk system functionality and perform end-to-end market risk calculations, ensuring timely, accurate reporting.

The role emphasizes data quality, workflow integrity, and leveraging AI-assisted analytics to improve operational efficiency and risk insights.

Qualifications

• A degree in Banking & Finance, Engineering or related fields.
• Good working knowledge of databases and data models.
• Experience with risk or valuation systems and reporting.

Responsibilities

• Design and enhance risk system functionality with risk managers and tech teams.
• Perform UAT and post-deployment validation for risk measurement and reporting.
• Assess impact of new products or portfolio changes on risk systems and processes.
• Run enterprise-level market risk calculations and manage end-to-end workflows.
• Manage production issues, batch failures and data upload errors to meet deadlines.
• Investigate system exceptions and data issues affecting risk outputs.
• Review risk outputs for anomalies and ensure usability by stakeholders.
• Maintain data validation tools and leverage AI-assisted analytics for efficiency.
• Engage internal/external data providers to resolve data quality issues.

Skills

SQL/Programming

Data analytics

Microsoft Office

AI tools familiarity

Independent working

Team player

Education

Degree in Banking & Finance or Engineering

Tools

Data visualization tools

Databases

Job description

GIC Private Limited is seeking a Risk Systems Analyst in Singapore to collaborate with risk managers and technology teams. You will design, validate, and enhance risk system functionality and perform end-to-end market risk calculations, ensuring timely, accurate reporting.

The role emphasizes data quality, workflow integrity, and leveraging AI-assisted analytics to improve operational efficiency and risk insights.