HKMA Fintech 2025 Strategy: RegTech Adoption and Industry Development in Hong Kong

On 28 October 2024, the Hong Kong Monetary Authority (HKMA) published its updated “Fintech 2025” strategy, a policy document that directly affects every licensed financial institution operating in or from Hong Kong. The strategy mandates that all authorized institutions (AIs) adopt a structured approach to RegTech implementation by the end of 2025, with a specific deadline for the adoption of anti-money laundering (AML) and counter-financing of terrorism (CFT) RegTech solutions. This is not a voluntary guideline. The HKMA has stated it will embed RegTech adoption into its supervisory review process, meaning that a firm’s progress on technology adoption will factor directly into its risk assessment and supervisory rating. For compliance officers and licensing applicants, the practical consequence is immediate: any application for a new licence or a material change in business operations submitted after 1 January 2026 must demonstrate a credible RegTech roadmap. The strategy also commits the HKMA to launching a new “RegTech Adoption Practice Guide” in the first quarter of 2025, which will set out specific use cases and minimum standards. Firms that delay adoption risk falling behind their peers and facing increased supervisory scrutiny. This article provides a step-by-step breakdown of the strategy’s requirements, the deadlines, and the practical steps licensed institutions must take to comply.

The Three Pillars of the Fintech 2025 Refresh

The HKMA’s refreshed strategy is built on three operational pillars that directly affect licensed institutions. Each pillar carries specific deadlines and supervisory expectations.

Pillar 1: Mandatory RegTech Adoption for AML/CFT

The HKMA circular dated 28 October 2024 states that all AIs must adopt RegTech solutions for their AML/CFT transaction monitoring and screening functions by the end of 2025. This is the most concrete and enforceable requirement in the strategy.

Step 1: Conduct a gap analysis. Every AI must compare its current AML/CFT systems against the HKMA’s expected standards. The circular identifies three priority areas: transaction monitoring, name screening, and suspicious transaction reporting. The HKMA expects AIs to deploy technologies such as machine learning for anomaly detection, natural language processing for screening unstructured data, and automated reporting tools.

Step 2: Develop an implementation plan. AIs must submit a RegTech adoption roadmap to their HKMA supervisory team by 30 June 2025. The roadmap must include a timeline, budget, and key performance indicators. The HKMA has indicated it will review these plans during its regular supervisory meetings.

Step 3: Deploy and test. By 31 December 2025, AIs must have operational RegTech solutions for at least the transaction monitoring and name screening functions. The HKMA expects AIs to conduct parallel runs and validation testing before full deployment.

Pillar 2: Supervisory Innovation and Data Analytics

The HKMA is building its own supervisory technology (SupTech) capabilities, which will change how it examines AIs. The HKMA’s Supervisory Data Analytics Platform (SDAP) is being expanded to receive and analyse data directly from AIs’ systems.

Data submission requirements. Starting in the second half of 2025, the HKMA will require AIs to submit certain regulatory returns in machine-readable formats. The HKMA has published a consultation paper on the standardised data schema, which covers data fields for capital adequacy, liquidity, and credit risk. AIs must ensure their internal systems can generate these formats.

On-site examination changes. HKMA examiners will increasingly use automated tools to analyse AIs’ transaction data during on-site examinations. The HKMA has stated that it expects AIs to maintain data in a format that allows direct extraction and analysis. Firms that cannot provide data in the required format may face extended examination periods.

Pillar 3: Industry Infrastructure and Open Banking

The third pillar concerns the broader financial infrastructure that licensed institutions must operate within. The HKMA is pushing forward with the Commercial Data Interchange (CDI), a platform that enables data sharing between AIs and commercial data providers.

CDI participation requirements. The HKMA expects all retail banks to participate in the CDI by the end of 2025. For non-retail AIs, participation is voluntary but encouraged. The CDI allows AIs to access alternative credit data, such as utility payment histories and e-commerce transaction records, for credit underwriting and risk management.

Open API standards. The HKMA has updated its Open API framework to version 2.0, which requires AIs to support real-time data sharing for product information and customer onboarding. The updated standards take effect on 1 July 2025. AIs that have not upgraded their APIs by that date may be unable to offer certain digital onboarding services.

Practical Compliance Steps for Licensed Institutions

Compliance officers and licensing applicants must take concrete actions now. The HKMA’s strategy is not a theoretical document; it imposes specific obligations with clear deadlines.

Step 1: Audit Your Current Technology Stack

Every AI must conduct a technology audit before the end of the first quarter of 2025. The audit should cover three areas:

• AML/CFT systems. Identify whether current systems are rules-based or incorporate machine learning. Rules-based systems that cannot be upgraded to support machine learning will need replacement.
• Data management. Assess whether data is stored in structured, machine-readable formats. Unstructured data, such as PDF reports or scanned documents, will not meet the HKMA’s upcoming submission requirements.
• API capabilities. Verify that the institution’s APIs support the Open API 2.0 standards. Legacy systems that use proprietary protocols must be upgraded.

Step 2: Engage with the HKMA Early

The HKMA has stated that it will hold a series of industry briefings in the first quarter of 2025. AIs should send their compliance officers and technology leads to these briefings. The HKMA will also accept written queries on the implementation requirements.

Licensing applicants face a higher bar. Any entity applying for a new banking licence or a licence to operate a stored value facility (SVF) under the Payment Systems and Stored Value Facilities Ordinance (Cap. 584) after 1 January 2026 must include a RegTech adoption plan in its application. The HKMA has indicated that it will view applications without such a plan as incomplete.

Step 3: Budget for RegTech Investment

The HKMA’s strategy does not prescribe a specific budget, but the costs are significant. Industry estimates from the Hong Kong Association of Banks (HKAB) suggest that a mid-sized AI will need to spend between HKD 5 million and HKD 15 million on RegTech upgrades in 2025. Larger AIs with complex operations may face higher costs.

Cost components include:

• Software licensing for RegTech platforms
• Data migration and system integration
• Staff training and change management
• External consultants for gap analysis and implementation

AIs should allocate budget in their 2025 financial plans. The HKMA has stated that it will not grant extensions for financial constraints.

Enforcement and Consequences of Non-Compliance

The HKMA has made clear that the Fintech 2025 strategy is not optional. Non-compliance carries specific consequences under the Banking Ordinance (Cap. 155).

Supervisory Ratings Impact

The HKMA’s supervisory review process includes a rating system for AIs. The HKMA circular states that RegTech adoption will be a factor in the “Operations and Controls” component of the rating. A rating downgrade can trigger increased supervisory oversight, higher capital requirements, and restrictions on business activities.

Enforcement Actions

The HKMA has the power to impose financial penalties for non-compliance under section 17 of the Banking Ordinance. While the HKMA has not yet issued any penalties specifically for RegTech non-compliance, the legal framework exists. The HKMA can also impose conditions on an AI’s licence, such as requiring prior approval for new products or business lines.

Competitive Disadvantage

Beyond formal enforcement, AIs that lag in RegTech adoption will face practical disadvantages. The HKMA expects that AIs with advanced RegTech capabilities will receive faster approvals for new products and services. The HKMA’s “Fintech Supervisory Sandbox” (FSS) will prioritise applications that demonstrate RegTech integration.

Actionable Takeaways

1. Complete a technology gap analysis by 31 March 2025, focusing on AML/CFT systems, data formats, and API capabilities, and document the results for your HKMA supervisory team.
2. Submit a RegTech adoption roadmap to your HKMA supervisor by 30 June 2025, including a timeline for deploying machine learning-based transaction monitoring and name screening solutions.
3. Upgrade your Open APIs to version 2.0 standards by 1 July 2025 to ensure continued eligibility for digital onboarding services and compliance with the HKMA’s updated framework.
4. Budget for RegTech investment in your 2025 financial plan, allocating sufficient funds for software, integration, and training based on your institution’s size and complexity.
5. If you are applying for a new licence after 1 January 2026, prepare a detailed RegTech adoption plan as part of your application package, demonstrating how your proposed systems will meet the HKMA’s expected standards.

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