Metrics, Vendors, and Convergence: Sell-Side Ops 2026

Two operational questions that used to live in separate workstreams are converging. Sell-side leaders are looking to build standardized metrics to sharpen client relationships and improve resource allocation. They seek vendor partnerships that scale without adding fragmentation. These efforts are a critical part of the transformations underway at banks around the world. Banks are modernizing outdated infrastructure as they adapt to support new products, growing volumes across asset classes, and ever-increasing demands on data.

At Sell Side Ops 2026 in Orlando, Fla., I participated in two fireside chats that explored those questions. Leaders are also watching the impact of regulatory and AI acceleration. Institutions that treat metrics and vendor strategy as connected problems are pulling ahead of those that address them on parallel tracks.

Operational metrics and the evolution of client intelligence

Of all the things happening with data and AI across banks, many of the early wins will come from client-focused conversations. The fireside chat on building standardized operational metrics pointed to metrics that give the people engaging the front lines of operations, finance, and client relationships better intelligence.

Ops leaders want accurate, up-to-date information around everything a client is doing. It gives them the data they need to improve efficiency and the bottom line or grow revenue opportunities and the top line.

The data picture needed for selling liquid assets or products like listed equities, derivatives, and corporate credit is relatively straightforward. You can quickly discern whether an operational issue exists or whether a pattern needs to be addressed. These asset classes are more receptive to standardization in the operating metrics.

But once you move to more complex assets, esoteric assets, OTC derivatives, structured products, and loans, second- and third-degree data become far more prevalent. It’s both harder to access and creates steeper problem-solving demands. Those asset classes are harder to standardize, and having a proprietary approach may even be a competitive advantage.

This fork matters to operational metrics because it creates new inputs for client resource allocation and cost management. While sell-side resource allocation was once driven purely by “wallet size” or balance sheet efficiency, the current market pivot is toward ranking clients based on granular operational efficiency. The discussion and questions suggest that this type of ranking will start to determine the allocation of resources that a bank provides to a client. The right metrics help banks understand cost-to-serve with a lot more granularity.

The consensus on standardizing these metrics tends to cluster around buy-side segments. Plenty of institutional investors and managers trade long-only equities and credit. Others have more esoteric assets in their portfolios. You want to bucket those types of clients and map where each one sits relative to its peers, identifying the type of opportunities or challenges that client presents.

Among the sophisticated Tier 1 banking institutions in the room, there was broad agreement on this direction. Once you get outside the top seven or eight banks, there is much greater dispersion in how they engage with their clients. We are more likely to see tiers of standardization than industry-wide approaches.

Vendor engagement and the consolidating footprint

The second fireside chat centered on how sell-side institutions engage technology partners, including those that support their drive to operational metrics. The takeaway from the conversation was that it’s difficult and risky for vendors to do one thing well and expect that to be their calling card when partnering with a bank.

Institutions are looking for vendors capable of doing many things and acting as partners across multiple asset classes, business units, and approaches to addressing different needs across the organization.

The economics of procurement reinforce this. Sell-side firms invest heavily in finding partners, bringing them through their due diligence and information security gates, and getting a contract done. They don’t want to repeat that cycle again and again. They want to find a handful of partners that do it well.

Unsurprisingly, AI is having a multifaceted impact on the vendor selection calculus. The technology is now enabling internal developers to execute projects that were previously discarded due to capacity constraints, fundamentally shifting the “build versus buy” equilibrium.

At the same time, the right external partners can still drive ROI, faster time-to-market, and close gaps in product knowledge that may not exist internally, especially in an area like AI. Vendor expertise can help banks explore new technology through hackathons and teach-ins that support collaborative building, not just service delivery. The build-versus-buy mix matters because every bank has its own focus on what it thinks is important to build, customize, or source externally. They want vendors who can adapt to their philosophy.

Connective tissue: AI, workforce, and regulation

AI is also accelerating a convergence between the question of metrics and vendor strategy in ways people didn’t think conceivable a year ago. Institutions are trying to modernize legacy technologies while incorporating new requirements to address new product strategies. The pace of change keeps compressing.

But when AI is doing more things, banks will lose people through attrition while hiring fewer people. The traditional structure was a pyramid. You brought in a large cohort of college graduates, trained them, invested in them, and watched some of them rise through the organization over seven or eight years.

That model is giving way to a diamond. Fewer people at the entry level, a bigger middle layer of people experienced with the things critical to operations, structuring, financing, legal, and compliance, and then a peak of management at the top.

But if you’re moving toward that diamond, finding enough people to move into the middle part becomes a critical question about your talent structure. Employees may have a better experience when they stop doing rote things and start doing work that demands intuitive reasoning in ways that previous operational roles didn’t require. The discussions I had at the conference showed that the industry doesn’t have a definitive answer.

Regulatory change was the final layer of connective tissue that attendees brought up around metrics and vendors. New developments, including the anticipated updates to Basel III endgame proposals announced on March 16, 2026, are empowering them to lend more extensively. Further developments are expected for digital assets, tokenized and digitized securities, and other instruments. But these shifts are also creating new operational demands. When you need to measure operational efficiency across asset types that didn’t exist in your book five years ago, and you need partners who can operationalize those requirements at scale, the two workstreams come together in the way you approach transformation.

The connective factor

The takeaways I heard were twofold. Every sell-side institution is working on operational metrics. Every sell-side institution is working on its vendor strategy.

While these aren’t completely new, what I’m hearing is that those building connective tissue between those workstreams are finding that each one accelerates the others. Better metrics clarify what you need from partners, and better partners raise the quality of what you can measure and act on.

That awareness raises the next question for sell-side operations leaders across the industry. This was the biggest takeaway for me across both channels and my other conversations. If that connective tissue builds your muscles for future success, you have to build it into your transformation programs today.