ZM Financial Systems: Demystifying Financial Data

We bring comparability and consistency across multiple departments

Earlier, the various departments inside a depository institution, such as the security or investment portfolio, were separated from the full-balance sheet risk management capability and the credit admin function. The financial crisis has changed this scenario. Centered on stress-tests to ensure financial institutions have sufficient capital, there has been a push from regulatory bodies to have a similar type of analysis which requires a convergence of these departments. This has given rise to a need for a single software that can lead to less incurred costs and seamless comparability across all departments. The institutions also need third-party market integration sources to evaluate all the elements and operationalize analytics. As a part of their investments securities analytics, ZMFS pulls different features to allow clients to draft securities terms and conditions seamlessly. Through its various third-party links with Bloomberg, Reuters, and Moody’s, ZM Financial Systems is able to bring the terms and conditions to the system and then run securities on a single set of assumptions. “Further, we also provide different analytics features such as earning and income simulations to define the process that will be implemented for the clients, and a calculation engine API that provides the users with ultimate flexibility as they are able to program the interface of the system to reveal and report the features that they want,” adds Miner.

ZM Financial Systems puts particular emphasis on maintaining a comprehensive client relationship by being involved in frequent peer exchanges with credit unions and clients. Miner mentions talks about the 15th year conference the company will be hosting in the fall of 2018. ZMFS also has an active enhancement forum where the clients can discuss about the features that they want them to add to the system. Moving ahead, ZM Financial Systems will be focusing on the cloud-based offerings that will allow the clients to install the system rapidly. They will also assist clients in analyzing the institutions’ history, build tuned behavioral models and prepare reports geared toward the owned securities and underwriting standards.