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Invite colleaguesOperational challenges with complex assets : Navigating technology solutions for diversified institutional investment portfolios
Abstract
In recent years, institutional investors have begun diversifying into asset classes previously deemed too complex or high-risk to suit their objectives. While these investments may hold the potential for exceptional returns, they also pose significant challenges from an operations and accounting perspective due to their bespoke nature. This paper explores the diversification trend and investment categories that are attracting attention (and capital) from institutions. It outlines the key operational issues these investments raise, as well as some strategies that can help investors overcome those issues and optimise the benefits of diversification.
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Author's Biography
Scott Kurland is a Managing Director at SS&C Technologies, overseeing the company’s insurance solutions offering and state-of-the-art investment accounting, operations and analytics platform — Singularity. A graduate of the Wharton School of Business, Scott brings over 25 years’ experience developing and commercialising front, middle and back-office technology solutions for the financial industry, leveraging the latest artificial intelligence (AI)-driven technologies such as machine learning (ML), robotic process automation (RPA), predictive analytics and natural language processing (NLP) to drive continuous process improvement and increased operational efficiency. Prior to joining SS&C, Scott was a co-founder and Managing Director at ESP Technologies, Inc., where he developed and patented a post-trade aggregation, clearing and settlement platform (Clearvoyance) and the first electronic algorithm routing network (EARN) for the global asset management community, which was subsequently sold to Investment Technology Group (ITG) in 2010.