Brown Brothers Harriman Experiments with Machine Learning
The firm is developing machine learning models internally to optimize the reconciliation process and detect price anomalies.
Brown Brothers Harriman (BBH), which services more than $5 trillion of assets, is developing its own machine learning models to detect price anomalies and eliminate manual processes involved in reconciliation, Michael McGovern, managing director and head of the firm’s investor services fintech offering, said while speaking on a panel at the North American Financial Information Summit (NAFIS).
Like many financial services firms, BBH is testing the machine learning waters and has found that a
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