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Dear CEO letters
Find our published Dear CEO letters. -
Dear CEO letter: Motor finance commission complaints pause consultation outcome [pdf]
Letter on progressing complaints and actions FCA expects firms to take. -
Multi-firm review of contracts for difference providers’ provision of price and value
We reviewed a sample of contracts for difference (CFD) providers to understand how they comply with their obligations under the Consumer Duty 'Price and Value’ outcome. -
Risk assessment processes and controls in firms: our findings
The FCA shares findings and highlights good and poor practice to help firms reflect on how they are meeting risk assessment requirements. -
Combating romance fraud – prevention, detection and supporting victims
The FCA sets out key findings from its review of how firms detect and prevent romance fraud, and the measures they take to protect their customers against it. -
Dear CEO letter: Motor finance commission redress – action we expect firms to take now [pdf]
Letter to all firms involved in motor finance lending and broking from 2007. -
Dear CEO Letter: Expectations for Claims Management Companies (CMCs) involved in motor finance commission claims [pdf]
Dear CEO Letter: Expectations for Claims Management Companies (CMCs) involved in motor finance commission claims. -
CP25/27: Motor finance consumer redress scheme
The FCA consulted on an industry-wide compensation scheme for motor finance customers who were treated unfairly. -
Pure protection contracts product sales data dashboard
This page provides a breakdown of pure protection product sales data from 1 January 2020 to 31 December 2024. -
Authorisation and registration applications – good practice and areas for improvement
Examples of good practice and areas for improvement from the applications that we have seen. -
Multi-firm review of algorithmic trading controls: high-level observations
The FCA reviewed a sample of principal trading firms to assess their compliance with MiFID Regulatory Technical Standards (RTS) 6 and identify any areas of weakness in firms’ algorithmic control frameworks.