Managing Director & Senior Partner
On average, asset managers commit more than 25 percent of costs to IT and operations. Yet, in many cases, those functions don’t receive even a quarter of the company’s time and attention. As a result, most managers’ operating models evolve piecemeal, without being explicitly anchored to the company’s vision or strategy.
This incremental approach might seem to work for a while, but it leaves managers at increasing risk of being left behind. Clients and products proliferate, new markets are entered, footprints extend globally, and acquisitions bring new technologies that are patched onto legacy systems. In the new new normal of regulatory overload, shifting investor preferences, and competitive digitization, such haphazard evolution can quickly morph into a cripplingly complex tangle of systems and processes.
Most asset managers try to get by with such patchwork operating models. But they are light-years from achieving the enormous potential benefits of a strategically conceived target operating model that leading competitors have defined for themselves and are moving toward.
Broadly defined, a target operating model is an overall operations and technology ecosystem that allows a company to chart a path for achieving its strategic vision on the basis of its priorities and starting point. When an operating model becomes a critical part of a manager’s strategy, the benefits are tangible and the profound business impact can include the following:
In contrast, managers who fail to act might lag behind as they deploy increasingly greater resources simply to manage the tangle. In many cases, inaction inhibits growth because of the exponential costs of adapting technology and processes to the flow of new regulations; the inability to trade in new asset classes, markets, and locations; and an increased operational risk profile.
While the new new normal reshapes financial services, managers will find that the five disruptive trends introduced in Global Asset Management 2014: Steering the Course to Growth provide critical inputs as they define their target operating model. (See Exhibit 1.)
Many asset managers invest insufficient time in defining how they will translate their strategic vision into an operating model that takes into account their starting point, resources, and priorities. The path to achieving that goal begins by creating a target operating model.
The first step in defining the model is to understand the company’s strategic vision and priorities for the next five to ten years. The answers to the following questions can help frame the process:
Once the company has agreed on its strategic vision, it will need to analyze its operating-model ecosystem in order to define how to achieve the vision. Ecosystems vary by company, location, and asset type.
Our definition of operating model is based on three elements: process and technology, work structure, and organization. (See Exhibit 2.)
These three elements translate into a series of far-reaching business questions and decisions for the front office (including the level of sharing across trading platforms), middle- and back-office operations (such as the appropriate degree of outsourcing and centralization), and the enterprise data group (including governance and the level of real-time integration). (See Exhibit 3.)
There is no single, ideal target operating model that fits all managers. Rather, the design of each company’s model will depend on the company’s starting point, history, and the optimization goals it has prioritized.
However, agreement on these optimization goals must be explicit and shared at all levels of the organization—not just within the operations and technology silos.
We generally look at six possible design choices for a target operating model, and the selection of a particular model depends on the organization’s optimization goals. (See Exhibit 4.)
The relative weight to assign each of these design choices varies by manager and asset type. For example, a manager of passive products would focus on responsiveness, scale, and efficiency. An active asset manager would likely stress a flexible and adaptive model. An asset owner might emphasize the importance of having a single view of performance and risk across investments. Insurance company asset managers, who oversee the world’s second-largest asset pool, could be seeking business upside, risk, and efficiency.
Truly world-class operating models will deliver value across multiple elements, reconciling often opposing forces such as scalability and flexibility.
To illustrate, we have selected four operating models that we find particularly interesting and innovative. Although these models must be consistent with the objectives of a particular company, their core characteristics have valuable lessons for other asset managers.
Shadow Outsourcing: Redundancy. Outsourcing core processes and technology has become standard, but in many cases, asset managers decide to keep some aspect of quality control and oversight in-house. Now a small number of innovative asset managers have begun to outsource such “shadow” capabilities. The goals are to focus on core activities and improve risk management culture and practices through increased independence and better quality control. Shadow outsourcing also makes it easier to switch outsourcers. (See “Emergence of the Shadow Outsourcer.”)
The Global Operating Model: Global Scale, Local Customization. This model aims to achieve twin objectives: scalability, by taking advantage of an institution’s global scale, and management of cost and efficiency, by, for instance, leveraging lower-cost locations. The global model is also a powerful means of creating a template for future expansion to new regions.
This model relies on a global infrastructure comprising core, fully integrated front-to-back systems, single repositories for reference and market data, and common operational processes. The industrialization of systems, repositories, and processes creates scale benefits while accommodating the customization required by individual investment-management teams and regions.
Another benefit is the creation of shared services of critical functions—such as data management, technology, and recon-ciliations—in lower-cost locations as a
way to build scale and reduce unit cost. However, location-dependent functions—such as trading and regulatory reporting—and those needing proximity to portfolio managers or clients remain within local or regional hubs.
The Utility Operating Model: Monetizing the Model. The manager’s premise in this case was to create a customizable, flexible operating model that would allow for the addition of volumes and new products at minimum marginal cost. After investing heavily, the manager created world-class middle- and back-office operations that would have value for others and looked for ways to pool future costs and investments and to generate additional revenues.
The solution was to turn the multiyear investment into a service-providing business. The company commercialized select “com-moditized” portions of the operating model as a “utility” service for competitors. Two functions that differentiated the company—front office and data—were of course kept off limits.
Data-Centric Operating Model: Real-Time Decision Making. The manager’s primary objectives for this model were threefold: to maximize flexibility for new and unique assets and strategies, to improve the risk management culture and practices (for instance, by providing increased transparency and a better risk view across assets), and to create superior investment performance through better use of data in investment decisions.
Delivering on this goal requires a technology-heavy operating model and a real-time data capability feeding a modular technology and operations platform.
This last model reinforces the strategic importance that data occupies in target-operating-model transformation. In many cases, transformations are enabled by data infrastructure. Mature data-management practices are formidable enablers that allow a high level of automation and near-real-time analytics. (See “Recognizing Data as a Strategic Asset.”)
Target-operating-model transformation is a multiyear journey, not a big-bang, do-it-all-now endeavor. Indeed, although transformation must be aggressive, it should entail a series of realistic and achievable steps. Each step should deliver clear and tangible benefits to clients, to the business, and to overall financial results. Several actions are crucial to the success of a target-operating-model transformation program:
Now is the time for asset managers to redefine their operating model—from top to bottom. Many have started the journey timidly, focusing only on the back office rather than committing to a complete transformation.
In a rapidly evolving industry, asset managers that invest the resources to transform their operating model will differentiate themselves among clients, enable superior performance and growth, and capture market leadership.
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