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
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