What challenges did UOB Asset Management face before AI implementation?

UOB Asset Management needed to leverage AI to deliver better investment outcomes and reliable market predictions. The team required transparent development and integration of AI into existing financial workflows. They targeted performance improvements in hedging strategies and faster trade processing.

What was the impact of the AI solution?

Trade processing time significantly reduced from 48 to 2 hours, boosting operational efficiency. Hedging model showed a 4.77% recall improvement and 1.86% F1 score increase. AI model outperformed traditional buy-and-hold strategy by 28.7%, potentially delivering substantial investor returns. The platform supports ongoing refinement and scaling of AI models within compliance requirements.

Source

GCP

UOB Asset Management improves trading strategies with Vertex AI

Use case typeInvestment researchUpdated Jun 13, 2026

UOB Asset Management developed an AI hedging model using Google Cloud Vertex AI to predict financial market movements and enhance investment returns. They refined the model by reducing input features and incorporating economic indicators to improve efficiency and explainability. The improved model reduced trade processing time from 48 hours to 2 hours and outperformed buy-and-hold strategy by 28.7%. The AI enhancements have the potential to generate significant additional returns for investors and provide a scalable framework for future improvements.

Organization: UOB Asset Management
Industry: Finance
Location: Singapore

Reported outcomes

28.7%

quantified impactOther quantified impact

2 hourstime+4.8%quantified impact+1.9%quantified impact

Strategic outcomes

New product / capabilityBuilt an AI hedging modelSpeed & agilityAccelerated trade processing workflowCompetitive differentiationOutperformed traditional investment strategyScale & capacityCreated a scalable AI improvement framework

Primary read

Use case focus

Showing 3 of 3

1AI for Investment Management
2Trading Strategy Optimization
3Predictive Analytics

UOB Asset Management needed to leverage AI to deliver better investment outcomes and reliable market predictions.
The team required transparent development and integration of AI into existing financial workflows.
They targeted performance improvements in hedging strategies and faster trade processing.

Utilized Google Cloud Vertex AI platform to build and iteratively improve a hedging AI model.
Incorporated 1,000 relevant financial and economic features for model analysis, reducing from 2,000 initially.
Defined clear framework boundaries and objectives to separate AI-driven performance enhancement from other tools.

Technologies

Vertex AI

Trade processing time significantly reduced from 48 to 2 hours, boosting operational efficiency.
Hedging model showed a 4.77% recall improvement and 1.86% F1 score increase.
AI model outperformed traditional buy-and-hold strategy by 28.7%, potentially delivering substantial investor returns.
The platform supports ongoing refinement and scaling of AI models within compliance requirements.

Sources & evidence1

Groundedness: 5/5

Primary source

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Customer evidence