Neuberger Berman issued the following announcement on July 30.

Neuberger Berman has announced the formation of a research partnership with the University of Waterloo to study and develop data-driven techniques for investment management.

The research partnership brings together Neuberger Berman’s Toronto-based quantitative investment professionals from Neuberger Berman Breton Hill with researchers at Waterloo led by Professors George Labahn, Yuying Li, and Peter Forsyth from the David R. Cheriton School of Computer Science in the Faculty of Mathematics.

“We must continue to advance the field of quantitative investing in order to create the most effective strategies for our clients,” said Ray Carroll, CIO of Neuberger Berman Breton Hill. “This research partnership is a great way to extend our relationship with the University of Waterloo, which has consistently provided us with talented graduates as we’ve grown our team.”

The collaboration will take a machine learning approach to solving optimal control problems that arise in portfolio construction, rebalancing, and risk management. It will also support PhD and Master’s students working on research projects at the School and students at University of Waterloo, the largest co-operative education program in the world.

“We are certainly pleased to collaborate with the Neuberger Berman Breton Hill investment team. It’s an opportunity to apply academic research to complex financial risk management, portfolio construction, and rebalancing issues as well as for our students to gain real-world investment experience,” says Charmaine Dean, Vice-President, University Research, University of Waterloo.

The University of Waterloo is a global center of excellence for quantitative research and applied technology. It has been recognized as the most innovative university in Canada for 26 consecutive years (Maclean’s), with Computer Science at Waterloo ranked in the top 15 worldwide (by U.S. News and World Report Best Global Universities 2018).

Neuberger Berman Breton Hill, based in Toronto, Canada, utilizes rigorous quantitative research and proprietary technology infrastructure informed by deep capital markets experience. Solutions range across the risk and return spectrum with a focus on alternative risk premia and multi-factor solutions spanning equities, currencies, commodities, and rates.

Original source: https://www.nb.com/pages/public/global/insights/neuberger-berman-announces-quantitative-investment-research-partnership-with-university-of-waterloo.aspx