AVP/VP, Data Analytics & Risk Oversight

GIC; Singapore; Hybrid; SGD 180,000 - 300,000; Full time

Job summary

GIC is seeking an experienced AVP/VP in the Risk & Performance Management Department to lead data analytics across Operational Risk Management. You will build dashboards, mine large data sets, and apply AI/LLM tools to strengthen risk oversight, third-party due diligence, and control testing across the enterprise.

You will collaborate with risk managers and stakeholders, embedding a rigorous, data-driven approach while leveraging AI to generate actionable insights for senior management.

Qualifications

• At least 5 (AVP) and 7 (VP) years' experience in data analytics, business intelligence or a related field.
• Strong / advanced proficiency in data mining, analysis and visualisation tools (e.g. Databricks, Tableau), and programming languages such as Python and SQL.
• Practical experience applying AI/LLM tools to analytics or risk work (e.g. document review, summarisation, gap analysis, and workflow automation)

Responsibilities

• Develop and maintain dashboards and data analytics capability to meet the team's risk analysis, monitoring and reporting needs
• Analyse and interpret large data sets to identify risks, control gaps, trends and thematic issues, and translate findings into actionable recommendations
• Apply data analytics to enhance control assurance and testing (e.g. automating test procedures, running full-population testing on raw transactional data in place of sampling)
• Support third-party and outsourcing due diligence and risk assessments with data-driven analysis
• Leverage AI/LLM tools to augment risk and control workflows (e.g. reviewing documentation, extracting and summarising key information)

Skills

Data analytics

Python

SQL

AI/LLM tools

Tools

Databricks

Tableau

Job description

GIC is seeking an experienced AVP/VP in the Risk & Performance Management Department to lead data analytics across Operational Risk Management. You will build dashboards, mine large data sets, and apply AI/LLM tools to strengthen risk oversight, third-party due diligence, and control testing across the enterprise.

You will collaborate with risk managers and stakeholders, embedding a rigorous, data-driven approach while leveraging AI to generate actionable insights for senior management.