Panelists: Get the Data Right Before Worrying About Next-Gen Technology
Buy-side firms are being pulled into two different directions by legacy applications and innovative new tools, noted panelists at this year's Asia-Pacific BST Summit.
Technologists are always being pulled in two directions. On the one hand, they’re having to oversee the nuts and bolts of legacy systems and make sure that operations are running smoothly. At the same time, they also have to keep an eye on the future and examine new and potentially disruptive technologies.
While the latter is sexier, banks must never look too far ahead that they lose sight of present-day needs, noted Martin Leo, executive director of risk management for Morgan Stanley Investment Management, who spoke on a panel at this year’s Asia-Pacific Buy-Side Technology Summit.
“We’ve got legacy applications that are pulling us behind,” Leo said. “I wouldn’t go very far and look at artificial intelligence; I think that’s really far and we have a long way to go to get there. I think the bigger challenge is to be able to get our datasets right. Do we have a golden source of data that we can rely on for our applications? Then we take the next step of being able to visualize and then take it and monetize it. The moment you have data that is clean and meaningful,” you can take those next steps, he said.
Meanwhile, on the buy side, Rob Scott, head of international operations and head of technology and operations for Nikko Asset Management’s Asia unit, ex-Japan, said that compared to other industries, the asset management space has room for improvement when it comes to deploying innovative technologies. But like the sell side, it’s true for all firms that they must first get the data right.
“We’re still trying to get good sets of data to then try and utilize some of those new tools off the back of that. Even the business analytics tools that some of the vendors roll out—tools that all businesses use—we don’t even have the datasets ready to utilize that properly,” he said.
Scott added that technologies like blockchain, predictive analysis, and robo-advisors, among others, are on the periphery, but a lot of time and effort is focused on trying to comply with regulatory requirements, which is reliant on good data.
Technology as an Enabler
And then there’s wealth management. Venkatesh Narasiah, COO of Asia-Pacific for assets and wealth management at Deutsche Bank, said the key for managers is to harness the data for clients and then provide them with tools to create a more well-rounded investment ecosystem between the managers, the advisors and the clients.
“If we look at next-gen technology, for the private banks, I think it’s enablement with a capital ‘E’—enablement for the relationship managers, the investment advisors and for the clients themselves,” he said. “Can you get information at your fingertips on trade ideas for your clients? It’s not like if you’re a relationship manager you need to get an investment advisor—which then becomes subject to their own views coming to it rather than pure objective views on what’s available in the market—and then come up with a menu and then fit that with the client’s choices and then offer that to the client. I think that stuff is becoming important.”
The Norm of New Regulations
Another impediment to looking ahead to next-gen tools—perhaps the greatest current impediment—is regulation. New regulatory reporting demands and stricter trading rules are forcing firms on the buy side and sell side to focus their budgets on those mandates rather than dumping money into research and development.
“I think it’s part of the norm that at any given time, we are dealing with a range of new regulatory requirements that we have to implement,” Scott said. “Unfortunately, we spend too much time on it rather than the funky tech stuff or trying to grow the business—but it’s the state of play and it’s going to be the same for the foreseeable future.”
And as Narasiah noted, new rules have siphoned off money that could go toward new project implementations. He said that, in general, regulatory demands take up about 25 to 33 percent of the technology budget, whereas previously that number was closer to 10 percent.
“Your fixed costs have gone up tremendously,” he said. “What it has also done in the industry is that firms that have been profitable but did not have scale suddenly come very close to the break-even point or they start finding that they are taking losses. Their net income is negative as a result of fixed costs going up. The result of that in the industry is massive consolidation because if you want to be profitable in the market you need to have scale. And to get scale you need market share.”
The Bottom Line
Morgan Stanley’s Leo said that the time will come when the industry will be set to fully embrace machine learning and cognitive tools. The first waves of success will likely come around reducing the element of error and finding red flags. From there, AI will help firms to predict things like customer behavior, investment performance or risk. “I think that would be a very good next-gen jump,” Leo said.
And maybe fintech firms can help bridge that gap. But, as Nikko’s Scott noted, there’s still a wariness that exists around this community of startups. “Most of us are still generally going with the brands we know and can trust. If you take a risk and go with a fintech and the technology goes wrong, you’re stuffed,” Scott said. “If it goes right you’re a hero and the solution might be funkier and might be cheaper, but you’re taking that risk. Obviously, if you go with a known brand, it costs a bit more and maybe the tech is not as cool or as funky, but it’s more of a surety.”
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 info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux
Waters Wavelength Ep. 297: How to talk to the media
This week, Tony and Wei-Shen discuss the dos and don’ts for sources interacting with the media.
The Waters Cooler: Tidings of comfort and joy
Christmas is almost upon us. Have you been naughty or nice?
FactSet launches conversational AI for increased productivity
FactSet is set to release a generative AI search agent across its platform in early 2025.
Waters Wavelength Ep. 295: Vision57’s Steve Grob
Steve Grob joins the podcast to discuss all things interoperability, AI, and the future of the OMS.
S&P debuts GenAI ‘Document Intelligence’ for Capital IQ
The new tool provides summaries of lengthy text-based documents such as filings and earnings transcripts and allows users to query the documents with a ChatGPT-style interface.
The Waters Cooler: Are times really a-changin?
New thinking around buy-build? Changing tides in after-hours trading? Trump is back? Lots to get to.
A tech revolution in an old-school industry: FX
FX is in a state of transition, as asset managers and financial firms explore modernizing their operating processes. But manual processes persist. MillTechFX’s Eric Huttman makes the case for doubling down on new technology and embracing automation to increase operational efficiency in FX.