According to the traditional operating model, the value chain of an asset manager is split into three independent organizational units with each one having its dedicated responsibility and cost center.
The FO is responsible for client-related tasks from acquisition, customer support up to product management and portfolio management. In this business unit, closeness to the client is required due to the continuous exchange with the client advisor, e.g. during the onboarding process, the portfolio review or with regard to investments.
The relationship manager is responsible for identifying the client’s needs, whereas the portfolio manager makes sure that these are reflected in the products.
The MO acts as support to the FO and takes over all non-client-related tasks. This set-up is considered to be efficient since portfolio managers in the FO have higher salaries than the MO staff, which explains why they should focus primarily on client acquisition, servicing and portfolio management rather than executing administrative and supportive tasks.
Historically, a MO was established due to a heterogeneous system landscape in the FO and BO. Indeed, portfolio management systems, where the front staff entered orders, were often very different from the systems used in the BO for reconciliation, accounting and reporting purposes. The raison d’être of the MO was to ensure the transfer of orders initiated by the FO to the BO by manually entering them into BO systems (this is today often resolved with APIs).
Previously, the MO handled the paper-based transfer of these orders to the BO. Nowadays, the MO not only acts as an intermediary for communication and order handling between front and back office, but also hosts technical functions that require specific expertise such as risk management. These functions are required for each asset class and therefore a common middle office is key to ensure the realization of cost synergies for similar processes.
In terms of market developments, major AM players are starting to consolidate functions related to their current key challenges, i.e. ESG and data management. Their high importance and multivariate impact along the value chain explain why they should be anchored in one single place.