By Ronny Maate, CPO

There is a performance gap sitting inside most retail securities lending programmes today. The infrastructure is live. The regulatory groundwork is done. The commercial case was made, approved, and signed off. And yet, when you look at the opt-in rates, the actual proportion of underlying accounts actively participating in lending, the numbers tell a different story.

In our experience working with programmes running across millions of underlying accounts, the gap between potential participation and actual participation is rarely a technology problem. It is almost never a product problem. It is a model problem.

The model most programmes are running on was designed for a different era. It assumes that the job of a lending programme is to create the conditions for participation and then wait. Make the programme available. Communicate it. Offer it at onboarding. And then monitor what happens.

That model was reasonable when retail securities lending was new, when regulators were cautious, when the infrastructure was genuinely fragile. But the market has matured. The infrastructure has matured. The regulatory framework has matured. And the expectation of what a well-run programme can achieve has matured alongside it. What has not matured, in many cases, is the operational model.

The financial institutions seeing the strongest programme performance right now are not necessarily the ones with the best product. They are the ones that stopped waiting for clients to opt in at the right moment, for the quarterly review to surface underperforming segments, and for the manual intervention that comes too late to change this month’s numbers. They shifted from passive availability to active, autonomous management of programme participation. And the difference in outcomes is not incremental. It is structural.

What does autonomous management actually mean in practice? It means the programme continuously identifies which underlying accounts are eligible and not yet participating, and it knows exactly where to focus, systematically, and at scale. Opt-in rates are no longer an output you observe. They are a variable the programme actively works on, continuously.

This is what we built MAX to do. MAX brings together the data, intelligence and automation to do this in one place: it monitors which eligible accounts aren’t participating, identifies the highest-value opportunities, and moves on them fast. It is the engine behind our most performant client programmes, and what we are seeing at real scale confirms that the participation gap is closeable.

Retail securities lending has reached the point where operational model matters more than product features. The question worth asking is whether your programme is built to actively manage performance and close the gap between what it could earn and what it actually captures, or whether you are still running a model designed for 2015.

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