Tech at the Margins
It's not just the bigger kids in the school yard

Instead, as is sometimes my direction in this column, I wanted to share and discuss a few anecdotes that I’ve picked up over the course of the week. On Tuesday, for instance, I was in Boston, chatting with the technology director of a relatively small, but growing, asset manager.
You’ll be able to read the full article that will come from that in October, but what really stuck with me after our conversation was the flexibility in approach to technology that this firm took. It has moved most of its infrastructure to a private cloud, for instance, and is replacing its legacy platforms and Excel spreadsheets with what it considers to be best-in-breed solutions from big providers such as Charles River, and other technology vendors.
At the end of the interview, we turned to emerging technology, such as artificial intelligence (AI), blockchain, and all that good stuff, which we write about every week now. The director, as a technologist, seemed to be excited about the promise of this new technology and its potential to free up time, resources and personnel for more innovative tasks within the primary roles of investment management and decision-making.
But he wasn’t ready to go all in.
Bear in mind, again, that for an investment manager with a somewhat modest sum of assets under management, it is a remarkably forward-thinking company. It does a lot with far less than many of its competitors and is open to allowing third parties to take the load where other small, traditional buy-side shops might not have been, such as by effectively pushing its operations and back-office roles outside of the business.
The enlightening part was that he didn’t really see his company as being at the vanguard of this new technology wave, however. Sure, it has an advisory committee that tracks these developments, but for the firm, the exploration is something to be done by others. Vendors, for instance, may determine blockchain is the way forward and either integrate it into their products or make them compatible, same with machine learning and other new tech.
Frankly, the investment manager didn’t really need to worry about it. Not yet, at least.
It made me think that we do spend an awful lot of time talking about the promise of AI, of emerging technologies, but for the firms that make up the bulk of the buy side, it’s all games and theory at the moment. I’d be keen to hear from other hedge funds, asset managers or buy-side shops that have similar—or opposing—theories. Feel free to send an email to me at james.rundle@incisivemedia.com.
Also, finally, a quick note to say thanks for the huge response I received from last week’s column on blockchain and the investment book of record. I should have a piece out on that next week.
This week on Buy-Side Technology:
- UBS has said that blockchain might not be as suitable for wealth management as AI could be—outside, perhaps, of know-your-customer (KYC), which is more or less the standard response when you ask people about blockchain these days: “Yeah, I don’t know about that, but if you think about our super onerous KYC requirements…”
- Systematic internalizers! Wake up! Over a dozen were registered this month, although the rules have yet to be formalized. Could there possibly have been a worse, more technocratic name, though? Mind you, “broker crossing networks” wasn’t much better.
- A bunch of moves around the revised Markets in Financial Instruments Directive (Mifid II), mostly from Liquidnet, but also Simcorp!
- My colleague Anthony Malakian and I talk about most of this on the podcast. And about Game of Thrones. And Nazis.
- CloudMargin launched a website for uncleared derivatives margin rules. Everyone is launching something for uncleared margin derivatives rules. There. I tied it all back to derivatives in the end.
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: https://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
BlueMatrix acquires FactSet’s RMS Partners platform
This is the third acquisition BlueMatrix has made this year.
Waters Wavelength Ep. 331: Cresting Wave’s Bill Murphy
Bill Murphy, Blackstone’s former CTO, joins to discuss that much-discussed MIT study on AI projects failing and factors executives should consider as the technology continues to evolves.
FactSet adds MarketAxess CP+ data, LSEG files dismissal, BNY’s new AI lab, and more
The Waters Cooler: Synthetic data for LLM training, Dora confusion, GenAI’s ‘blind spots,’ and our 9/11 remembrance in this week’s news roundup.
Chief investment officers persist with GenAI tools despite ‘blind spots’
Trading heads from JP Morgan, UBS, and M&G Investments explained why their firms were bullish on GenAI, even as “replicability and reproducibility” challenges persist.
Wall Street hesitates on synthetic data as AI push gathers steam
Deutsche Bank and JP Morgan have differing opinions on the use of synthetic data to train LLMs.
A Q&A with H2O’s tech chief on reducing GenAI noise
Timothée Consigny says the key to GenAI experimentation rests in leveraging the expertise of portfolio managers “to curate smaller and more relevant datasets.”
Etrading wins UK bond tape, R3 debuts new lab, TNS buys Radianz, and more
The Waters Cooler: The Swiss release an LLM, overnight trading strays further from reach, and the private markets frenzy continues in this week’s news roundup.
AI fails for many reasons but succeeds for few
Firms hoping to achieve ROI on their AI efforts must focus on data, partnerships, and scale—but a fundamental roadblock remains.