Members of UK pension schemes have a statutory right to transfer their accrued benefits to another registered pension scheme. That right exists to give members flexibility in managing their retirement savings. It also creates the primary vulnerability that pension fraudsters exploit. A member who has been manipulated into believing they are making a legitimate investment transfer will instruct a genuine transfer from a genuine scheme. The fraud is not in the transfer instruction. It is in the circumstances that led the member to give it.
Pension scams cause average losses of £82,000 per victim according to the Financial Conduct Authority. The funds, once transferred, typically move within hours into unregulated overseas vehicles or fraudulent investment schemes from which recovery is effectively impossible. The member has not made a bad investment decision in the normal sense — they have been deceived into making an irreversible one. The financial harm is permanent.
Where the due diligence decision breaks down
Trustees and administrators processing transfer requests are required to carry out due diligence on the receiving scheme and to consider whether the transfer shows indicators of pension liberation fraud or scam involvement. In practice, that due diligence is often conducted manually, inconsistently across different transfer handlers, and against a checklist that reflects known scam typologies rather than the full range of fraud indicators that current scam operations use.
The scam operators who generate the most member harm are sophisticated. They create receiving schemes that pass basic registration checks, use inducement language calibrated to appear as legitimate investment opportunity rather than fraud, and apply pressure tactics that make urgency feel normal. A handler reviewing a single transfer request in isolation, without systematic access to patterns across the transfer population or up-to-date intelligence on current scam typologies, will identify some scam transfers and miss others. The inconsistency is not a competence failure. It is a structural limitation of manual review at volume.
What systematic detection looks like
Pension scam detection models assess each transfer request against a set of behavioural and circumstantial indicators that distinguish scam-related transfers from legitimate ones. The indicators include the characteristics of the receiving scheme — registration age, FCA authorisation status, geographic location — the circumstances of the member’s decision — contact through an unsolicited approach, third-party intermediary managing the process, time pressure applied — and the member’s own communication patterns — language that suggests coaching, statements about guaranteed returns, reference to investment opportunities in high-risk asset classes.
No single indicator is determinative. A member who is genuinely transferring to an overseas pension arrangement for legitimate reasons will trigger some of the same signals as a scam victim. The model’s role is to identify the combination of indicators that, taken together, justifies pausing the transfer for a structured intervention — a conversation with the member designed to establish whether they have been subject to a scam approach and to give them the information they need to make a genuinely informed decision.
The intervention itself is defined in the Pension Transfer and Pension Conversion regulations. Trustees who identify a scam risk are entitled to pause the transfer and require the member to take guidance from MoneyHelper before proceeding. Systematic detection models provide the evidence base for that intervention that manual review cannot consistently produce.
The trustee liability dimension
Trustees who process transfers without adequate scam due diligence face personal liability if The Pensions Regulator determines that the scheme facilitated a fraudulent transfer. That personal liability — not the scheme’s liability, the individual trustee’s — makes scam prevention a governance priority that resonates differently from most operational risk questions. A trustee board that has implemented systematic detection and can evidence the due diligence process for every transfer request is in a fundamentally stronger position in regulatory engagement than one that relies on inconsistent manual review.
What success looks like
The primary metrics are scam detection rate — the proportion of scam transfers identified before execution — false intervention rate, member harm prevention rate in financial terms, and regulatory compliance rate on transfer due diligence. The scam detection rate should be measured against a baseline established from retrospective analysis of confirmed scam transfers to understand what proportion of the historical fraud a systematic detection model would have prevented. That baseline is the evidence for the investment case and the benchmark against which programme performance is assessed.
