Orc Adds Two to Bolster Regulatory Initiative
Orc appoints Christer Wennerberg and Magnus Hedin to the firm’s newly established market structure team.
According to Orc, the team's objective is to help adapt the firm's platforms to upcoming regulatory changes, and to launch a broader product and services offering for supporting clients affected by new European market regulations, including Mifid II and Mifir.
Christer Wennerberg, who leads to the team, was formerly CTO of equities trading technology at Stockholm-based SEB (Skandinaviska Enskilda Banken), where he headed up the electronic trading services group responsible for algorithmic trading, smart order routing, execution strategies, and market structure analysis. He has more than 25 years' experience in the area of market structure, regulation and technology within the equities market. Prior to SEB, he was head of fixed income at OM Stockholm Exchange, and before that, head of systems development exchange systems at the Stockholm Stock Exchange.
Hedin, previously head of development at Nasdaq in Stockholm, has a decade of experience in software and services delivery in the financial services sector. Prior to his Nasdaq tenure, he held a number of key positions at SEB, responsible for advanced trading strategies, best execution, and market structure analysis.
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
Agentic AI and big questions for the technologists
Waters Wrap: Much the same way that GenAI dominated tech discussions over the last two years, the road ahead will feature a lot of agentic AI talk—and CIOs and CTOs better be prepared.
Waters Wavelength Ep. 302: Connectifi’s Nick Kolba
Nick joins the show to give his views on trends in the interoperability space and the FDC3 standard.
AI co-pilot offers real-time portfolio rebalancing
WealthRyse’s platform melds graph theory, neural networks and quantum tech to help asset managers construct and rebalance portfolios more efficiently and at scale.
Waters Wavelength Ep. 301: SIX’s Javier Hernani
Javier Hernani, head of securities services at SIX, joins to discuss everything T+1.
Bloomberg debuts GenAI news summaries
The AI-generated summaries will allow financial professionals to consume more data, faster, officials say.
8 bank CTOs and CDOs sound off on artificial intelligence
Waters Wrap: Last year, WatersTechnology spoke with heads of technology and data from a range of tier-1 banks. Anthony pulls at one common thread from those interviews: AI.
Waters Wavelength Ep. 300: Reflecting on humble beginnings
It is our 300th episode! Tony and Shen reflect on how it all started.
An inside look: How AI powered innovation in the capital markets in 2024
From generative AI and machine learning to more classical forms of AI, banks, asset managers, exchanges, and vendors looked to large language models, co-pilots, and other tools to drive analytics.