The autumn season of 2010 holds the promise of extreme exchange action in the European arena as all of the major incumbent exchanges proceed with major investments in their matching engine, data centre and connectivity infrastructures. Clearly, this has all come in response to the arrival of a glut of multilateral trading facilities (MTFs) since the launch of the most successful of them – Chi-X Europe – back in mid-2007.
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
The questions have become perennial: build versus buy, cloud versus on-premise, in-house versus managed platform. But the discussion that emerged from a recent A-Team Group webinar on quantitative research infrastructure pointed to something more interesting than a binary choice. The build-versus-buy question, panellists agreed, has matured into a more sophisticated conversation about where firms locate...
Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.
Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...