Brown Brothers Harriman Automates NAV Reviews with Machine Learning

The bank is looking to automation in the middle and back offices as it seeks to exploit emerging technologies.


Brown Brothers Harriman has brought greater efficiency to its net asset value (NAV) review process with supervised machine learning, said Kevin Welch, the firm’s managing director for investor services, who was speaking at this year’s Waters USA event.

Securities pricing is reconciled each day at market close to make sure that the NAV figure is accurate, and the prices are reviewed to discover any significant variation day to day. Welch said the process, when performed with traditional methods

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact or view our subscription options here:

You are currently unable to copy this content. Please contact to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

If you already have an account, please sign in here.

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: