These key figures collected according to uniform criteria provide an overview of market distribution and facilitate a differentiated assessment of market participants. They enable FINMA to better assess the risk situation of the asset management activities of all supervised financial intermediaries, because they allow comparisons to be drawn between licence types, institutions and business models and thus support risk-oriented supervision. FINMA can therefore exercise its supervision of asset management activities consistently, proportionately and independently of the type of licence in question and address the associated risks where they are significant.
Direct data survey of capital adequacy improves assessment of risk diversification at banks
Since the implementation of the final Basel III reforms as of 1 January 2025, FINMA has been conducting capital adequacy surveys at banks. Previously, the data survey was conducted by the SNB, which forwarded the data to FINMA. This process is now carried out directly by FINMA via its EHP survey platform. In 2026, FINMA will also conduct the risk diversification survey of banks.
The final Basel III package of measures concludes the international reforms of the Basel Committee on Banking Supervision (BCBS) following the financial crisis in 2008. The new requirements include a comprehensive revision of capital and risk regulations, increased capital adequacy requirements, more uniform valuation approaches and enhanced transparency and comparability. Switzerland has incorporated these standards into national law, with 31 March 2025 as the first reporting deadline under the new framework.
FINMA attaches great importance to the quality of the data submitted. All reports are subject to automated validations and consistency checks supplemented by expert reviews. Irregularities are systematically reviewed and followed up in order to ensure a reliable data basis for supervision.
Data Innovation Lab: innovation for data-driven and efficient supervision
The Data Innovation Lab is FINMA’s innovation vehicle in the area of data-driven supervision. It identifies and tests new technological approaches and translates them into concrete supervisory applications. The focus is on promoting a data-driven, efficient and forward-looking supervisory practice. This strengthens FINMA’s ability to identify risks at supervised institutions at an early stage and understand market behaviour better.
FINMA pooled its analytical competencies from an organisational perspective in 2025 in order to make better use of synergies and provide data-driven internal services more efficiently. Primary responsibility for the Data Innovation Lab was assigned to the newly created Integrated Risk Expertise division. The Lab performs a cross-divisional role and works closely with all FINMA specialist units, gathering ideas from the entire organisation, prioritising them in terms of benefits and impact and developing them further in a structured process. This results in a balanced portfolio of initiatives relevant for supervision.
The focus in 2025 was on strengthening governance and closer interlinking of analytics competencies within FINMA. The Data Innovation Lab worked on a broad range of data-driven supervisory topics. These included projects for automating analyses, utilising text and network analyses, expanding existing AI solutions in specific cases and developing tools for crypto and liquidity supervision. These initiatives show how data-driven innovation can support and further develop supervisory practice in a targeted way.
Additional support is provided by the newly created Analytics Circle as a FINMA-wide platform for the exchange and coordination of analytics initiatives that promotes the internal transfer of knowledge. Among other things, AI-supported processes are used for automated text analysis, where permitted by data classification. They are capable of systematically evaluating large volumes of documents and enable relevant content to be swiftly identified. Media reports, client reviews and social media posts are also increasingly serving as data sources in the analyses in order to gain an even more comprehensive picture of the supervised institutions.
Automating the processing and analysis of account statement data
FINMA automated the standardisation, cleansing and visualisation of account statement data for investigations of unauthorised activities in the year under review. This significantly enhanced the efficiency and quality of the ad-hoc analysis of such data. The basis for automation comprises the edited account documents that are now requested from banks in a structured form and in the format recommended by the Conference of Swiss Public Prosecutors (CSPP) for the electronic edition of bank documents. The data are cleansed at FINMA following receipt, including name matching for the purpose of person-based transaction analyses. In a second step, the cleansed data are made available in an interactive visualisation with selected graphics for investigation tasks. This enables the specialists to concentrate more on content-related investigation questions and work even more efficiently. The standardisation, cleansing and visualisation steps will also be applied in other areas of FINMA in future.
Use of technology in market supervision
FINMA decisively improved its tools for identifying, visualising and evaluating unlawful market conduct in the year under review. In order to effectively assess the many reports of suspicious activity and the data from more than 120 million transaction reports, it relies on intelligent processes and modern technology. This enables potentially price-relevant incidents to be recorded in a systematic and automated manner and subsequently reconciled with incoming reports of suspicious activity.
In addition, the use of AI in cases of suspected insider trading supports the decision as to whether the required price relevance is present and thus facilitates the efficient triage of these cases. If a case is investigated in detail, the unusual, incident-related conduct of a person can be automatically evaluated with the help of historic trading behaviour (so-called “insider scoring”).
Furthermore, FINMA used agile methods to develop new tools for assessing and analysing potential sophisticated market manipulation. The tools enable order book and closing data to be graphically illustrated in a holistic manner on a daily basis or if required up to microsecond level and made suitable for use in court. FINMA presented a prototype of this development upon invitation at the annual Technology Applied to Securities Markets Enforcement Conference (TASMEC) hosted by the International Organization of Securities Commissions (IOSCO) in Rome.
Overall, these technological advances enabled market supervision to further enhance its effectiveness and efficiency.