Feature
Project Condor: Inside the data exercise expanding Man Group’s universe
Voice of the CTO: The investment management firm is strategically restructuring its data and trading architecture.
JP Morgan, Eurex push for DLT-driven collateral management
The high-stakes project could be a litmus test for the use of blockchain technology in the capital markets.
To unlock $40T private markets, Hamilton Lane embraced automation
In search of greater transparency and higher quality data, asset managers are taking a tech-first approach to resource gathering in an area that has major data problems.
Regis-TR and the Emir Refit blame game
The reporting overhaul was been marred by problems at repositories, prompting calls to stagger future go-live dates.
From no chance to no brainer: Inside outsourced trading’s buy-side charm offensive
Previously regarded with hesitancy and suspicion by the buy side, four asset managers explain their reasons for embracing outsourced trading.
It’s just semantics: The web standard that could replace the identifiers you love to hate
Data ontologists say that the IRI, a cousin of the humble URL, could put the various wars over identity resolution to bed—for good.
The art of communication: Data pros need better messaging
As the CDO of a tier-one bank puts it, when there’s an imbalance in communication between the data organization and the business (much less other technology heads) “that creates problems.”
Back to basics: Taxonomies, lineage still stifle data efforts
Voice of the CDO: While data professionals are increasingly showing their value when it comes to analytics and AI adoption, their main job is still—crucially—getting a strong data foundation in place. That starts with taxonomies and lineage.
Too ’Berg to fail? What October’s Instant Bloomberg outage means for the industry
The ubiquitous communications platform is vital for traders around the globe, especially in fixed income and exotic derivatives. When it fails, the disruption can be great.
The AI boom proves a boon for chief data officers
Voice of the CDO: As trading firms incorporate AI and large language models into their investment workflows, there’s a growing realization among firms that their data governance structures are riddled with holes. Enter the chief data officer.
Removal of Chevron spells t-r-o-u-b-l-e for the C-A-T
Citadel Securities and the American Securities Association are suing the SEC to limit the Consolidated Audit Trail, and their case may be aided by the removal of a key piece of the agency’s legislative power earlier this year.
Chief data officers must ‘get it done’—but differ on what that means
Voice of the CDO: After years of focus on data quality, governance, and compliance, CDOs are now tasked with supporting the business in generating alpha and driving value. How can firms put a value on the CDO role?
Footsteps in the dark: Private markets’ data quality “problem”
Data quality in the private markets is poor. But is this a quirk of the market or a problem that needs fixing?
Fidelity’s quantum exploration unites theory and proof
The asset manager and Amazon have teamed to put a quantum twist on machine learning.
Should banks risk lightning hitting twice for CrowdStrike?
Bank tech teams divided on whether to give security vendor a second chance after update crash.
South Africa’s equity markets court HFTs with tech upgrades
Competition for flow has driven innovation in connectivity, risk, and data provision.
The costly sanctions risks hiding in your supply chain
In an age of geopolitical instability and rising fines, financial firms need to dig deep into the securities they invest in and the issuing company’s network of suppliers and associates.
Déjà vu for common domain model
Piecemeal progress on ambitious derivatives data standard raises questions over business case
US banks seek to open vendors’ black box on green data
Inaugural Fed climate scenario analysis flags lack of transparency around third-party models.
The coming AI revolution in QIS
The first machine learning-based equity indexes launched in 2019. They are finally gaining traction with investors.
Heavy lifting: Why using AI for data extraction is still no easy task
Using AI to extract data from documents and filings should be a no-brainer. But it takes a lot of brains and money to get those processes set up and running reliably and accurately.