The FCA’s latest RegData information request on client categorisation and certified investors puts firms’ categorisation frameworks under direct scrutiny. RegData is the FCA’s regulatory reporting platform used to collect structured data from firms for supervisory oversight.
The FCA introduced the Client Categorisation and Certified Investor Information Request for some firms on 20 April 2026 with a submission deadline of 22 June 2026, giving firms limited lead time and little clarity on which firms fall within scope.
While client categorisation itself is not new, the way this has been delivered is notable and signals a shift towards more structured scrutiny of how firms evidence and apply categorisation in practice.
It also lands against a backdrop of increased supervisory attention on how firms classify, treat, and evidence different client types, including recent consultation activity on categorisation and conflicts of interest.
In our experience, when the FCA elevates a topic into structured data collection, it is rarely a box-ticking exercise; it is a way to test whether governance, operational controls, and client files support the firm’s stated approach to client categorisation.
The Request Signals the FCA’s Intent to Scrutinise Categorisation at Scale
The RegData release comprises two components: an information request on client categorisation and a related feedback form, but the FCA has not clearly defined which firms are in scope.
RegData returns and information requests are designed to enable comparison across firms. They allow the FCA to identify outliers and segment firms by business model. They also pinpoint where a firm’s categorisation profile appears inconsistent with its permissions, products, distribution model, or client outcomes.
Although the submission is voluntary, this information request should serve as a prompt for firms to ensure categorisation decisions are accurate, consistently applied and defensible on file, both policy and day-to-day processes.
This reflects the FCA’s wider investment in data and analytics capabilities, including its use of advanced tools to analyse large datasets. As its ability to parse information improves, structured returns and information requests can be compared with other indicators, including permissions, business model signals, complaints, and thematic work. In practice, this makes it easier to identify unusual categorisation patterns and follow up where needed.
Firms Should Treat this as a Governance and Data Quality Test
Even if this recent request appears administrative, firms should prioritise these considerations.
There are three interconnected reasons:
- Supervisory risk
- Operational resilience
- Client outcomes
Client categorisation sits at the junction of legal definitions, commercial strategy, and systems implementation, meaning small inconsistencies can scale quickly.
- Supervisory visibility increases: A mandatory dataset makes it easier for the FCA to challenge firms where proportions of professional clients, elective professionals, or certified investor-style classifications appear unusual for the business model, or where movement between categories looks poorly governed.
- File readiness matters: If your RegData numbers prompt follow-up questions, you may need to evidence the decision trail, including rationale, supporting documentation, appropriateness of communications, and any required warnings/acknowledgements.
- Inconsistent categorisation can drive conduct risk: Categorisation decisions influence disclosure, protections, and the assumptions made about knowledge and experience. Weaknesses can cascade into suitability/appropriateness issues, complaints, and remediation.
- Operational controls can be tested indirectly: Returns and information requests tend to expose gaps between policy and practice through expired certifications, missing periodic reviews, manual overrides, poor audit trails, or system fields that do not map cleanly to regulatory definitions.
- Technology debt becomes a compliance problem: Where categorisation is stored across a Customer Relationship Management (CRM), onboarding tools, portfolio platforms, and document repositories, creating a single set of data can be the first time the firm reconciles those datasets end-to-end.
- Enhanced analytics means anomalies are easier to spot: With the FCA investing in more sophisticated data tooling, firms should assume greater trend review across RegData and other sources. When a firm’s categorisation profile looks inconsistent, the impact can be practical and client-facing. This potentially includes more information requests, deeper sampling of files, and potential remediation activity that consumes front office and operations capacity.
Reduce Risk by Treating Categorisation as an End-To-End Control
To avoid last-minute data scrambles and the more serious pitfalls that can sit behind them, firms should focus on practical actions that connect governance, process, and systems.
The following steps reflect current industry practices:
Confirm Ownership and Accountability
Confirm Ownership and Accountability
Assign a clear owner for the request and a senior accountable individual to sign off on assumptions, especially where scope is unclear.
Map Client Categories to System Fields
Map Client Categories to System Fields
Identify where categorisation data sits (CRM, onboarding tool, portfolio management system, document management, spreadsheets) and create a single mapping that links your policy definitions to actual data fields and permitted values.
Run a Data Integrity Review Before Calculating Numbers
Run a Data Integrity Review Before Calculating Numbers
Test for missing values, duplicates, inconsistent category labels, manual overrides, and orphan records. Pay attention to clients with mixed relationships across entities or strategies.
Perform Sample Testing
Perform Sample Testing
Select a risk-based sample across categories and verify that the documentation and approvals align with your policy, that required disclosures and acknowledgements are present, and that any time-limited statuses are current.
Validate Periodic Reviews and Trigger Events
Validate Periodic Reviews and Trigger Events
Check whether your process captures events that should prompt re-categorisation (client status changes, investment objectives, changes in service, or material changes to knowledge and experience indicators).
Stress Test Your Reporting Logic
Stress Test Your Reporting Logic
Reconcile totals against your client book and permissions. Explain anomalies before submission, not after (e.g., professional clients in a segment where you would not expect them).
Make Your Management Information Analytics-Ready
Make Your Management Information Analytics-Ready
Build a set of repeatable trend checks, including movements between categories, exceptions, expired evidence, and concentrations by strategy or channel. This helps explain drivers and demonstrate control as FCA data capabilities evolve.
The FCA notes that the same client or investor may be counted more than once in the request. Firms may therefore double count in some scenarios. Where this creates difficulty, the FCA allows firms to exercise judgment. Any approach taken should be clearly documented.
Prepare an Audit Trail
Prepare an Audit Trail
Retain working papers: mapping files, queries used to extract data, assumptions, sampling outcomes, and sign-offs. If the FCA asks “how did you get comfortable?”, you should be able to answer quickly.
Use the Optional Feedback Form Strategically
Use the Optional Feedback Form Strategically
Where the request requirements are genuinely unclear, consider using the feedback mechanism to highlight practical issues such as definitions, scoping, and data fields, in a constructive, evidence-based way.
With a scheduled deadline of 22 June 2026, firms should prepare early. Data clean-up, evidence gathering, and aligning multiple systems often take longer than anticipated, particularly where categorisation practices have evolved over time.
Strengthen Categorisation Before the FCA Asks
The introduction of the request reinforces that categorisation is not a one-time onboarding decision, but an operational control that needs ongoing maintenance.
When firms align policy, process, and data, they can deliver a smoother submission, better management reporting, fewer exceptions, and clearer governance over client protections.
For many buy-side firms, the quickest way to get comfortable is to combine internal knowledge with independent challenge. Engaging with a firm that can benchmark your approach, pressure-test your evidence, and help translate regulatory expectations into workable controls can accelerate readiness and reduce the risk of gaps. That external perspective can be especially valuable when requirements are introduced with limited clarity and timelines are tight.
ACA Drives Accurate RegData and Stronger Controls
ACA supports firms across the full categorisation and reporting lifecycle, from interpretation and data mapping through to testing and governance, including:
- RegData reporting support: Define ownership, document scope, map regulatory concepts to internal data fields, validate outputs, and produce audit-ready working papers and sign-offs.
- Compliance monitoring: Test categorisation controls and file evidence using a risk-based approach with clear findings and practical remediation actions.
- Training: Equip front office, onboarding, operations, and compliance teams to apply categorisation consistently and handle exceptions effectively.
- Periodic review support: Assess whether categorisation remains appropriate, confirm supporting evidence is current, and ensure controls keep pace with changes in products, distribution, and client behaviour.
Connect with us today to discuss your RegData readiness and strengthen client categorisation controls ahead of the June 2026 deadline.