AVP/VP, Data Analyst, Operational Risk Management

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide. Risk & Performance Management Department In Risk & Performance Management Department (RPMD), we work collaboratively across teams to identify and address potential blind spots, ensuring that all relevant risks are considered and duly addressed. Operational Risk Management The Operational Risk Management (ORM) team is responsible for driving and managing the corporate operational risk management programme within GIC. Operational risk tools and analytics are developed to better inform management about the operational risk landscape. We are looking for a dynamic and self-motivated individual to join the team as an Assistant Vice President/ Vice President, focusing on data analytics to strengthen risk and control oversight. What impact can you make in this role? You will be part of a team responsible for the independent assessment, measurement, monitoring and reporting of GIC's operational risk profile. You will bring a data-driven approach across the team's mandate, using analytics and AI/LLM tools to evaluate controls, support third-party and outsourcing risk assessments, generate insights, and strengthen the firm's overall risk and control environment. What will you do as an AVP/VP in ORM? 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, and identifying control exceptions and anomalies) Support third-party and outsourcing due diligence and risk assessments with data-driven analysis (e.g. vendor risk data, concentration analysis, and identification of emerging risks) Leverage AI/LLM tools to augment risk and control workflows (e.g. reviewing documentation, extracting and summarising key information from contracts and reports, comparing responses against policy requirements to flag gaps, and generating first-cut insights for reviewer refinement) Track, collate and report key risk indicators (KRIs) and key performance indicators (KPIs) across the team's remit, and analyse trends to flag emerging risks and control weaknesses Monitor and report risk and control outcomes to senior management and GIC's risk governance committees …