Data Management Insight Brief
SimCorp Builds AI-Powered Market Stress Test for Axioma Risk
SimCorp has introduced an artificial intelligence capability for stress testing market scenarios within its Axioma Risk platform.
The enhancement uses natural language processing to enable investment managers to design customised market scenarios and identify historical precedents without manual configuration. It identifies portfolio vulnerabilities and interprets risks arising from interest rate changes, currency movements or geopolitical events.
“Accelerating stress testing workflows can be game changer for investment teams,” said Ian Lumb, head of risk and performance product management. “When stress test configuration takes hours, risk teams cannot respond to events in real time. We are removing that bottleneck with AI-powered stress testing.”
The system translates macroeconomic concerns into financial shocks and provides statistical metrics to evaluate the plausibility of each scenario.
Private Direct Lending Data Added to Bloomberg
Bloomberg has introduced a private direct lending data service to increase visibility within the private credit market.
The offering aggregates information from multiple sources to cover 15,000 active loans representing about US$1 trillion in deal flow. It consolidates US business development company filings, merger and acquisition disclosures, and news reporting to create standardised loan-level records.
“Direct lending has historically been difficult to evaluate because loan-level data is often fragmented, inconsistent and not easily comparable across the markets,” said Brad Foster, head of fixed income and private markets. “Bloomberg is extending its end-to-end credit capabilities into private markets by combining a normalised dataset of all US BDC-reported and other direct lending loans with integrated analytics and enterprise delivery so clients can analyse pricing trends, compare loan terms, and apply more consistent analysis across public and private credit.”
The platform includes specific data points such as deal size, interest rate spreads and credit health indicators to support risk monitoring and benchmarking.
Clients can access the service via the Terminal and via Data License at its web portal, with delivery options including SFTP, REST API or a cloud environment.
Private Markets Analytics Datasets Unveiled by S&P Global
S&P Global has launched the S&P Global, Cambridge Associates, Mercer Private Markets Performance Analytics datasets, providing data on funds and underlying assets within the private credit and real assets sectors.
The datasets result from a collaboration introduced in 2025 and aim to assist investors with performance comparisons and risk management.
“As private markets evolve, the need for consistent, decision-ready intelligence has never been greater,” said Saugata Saha, president of S&P Global Market Intelligence and chief enterprise data officer of S&P Global. “This collaboration brings a more rigorous, standardised approach to the private markets ecosystem, transforming fragmented information into comparable intelligence that investors can use to assess performance, evaluate risk and make more disciplined investment decisions.”
The system utilises S&P Global’s iLEVEL portfolio monitoring platform and a proprietary taxonomy to aggregate and anonymise data for limited and general partners.
FactSet Rolls Out AI-Backed Search, Bank Workflow Tools
FactSet has begun rolling out an artificial intelligence document search tool to 85,000 financial professionals, enabling them to access and extract insights from unstructured datasets including transcripts, filings and news.
The beta release follows previous integrations with external large language models and the appointment of a chief artificial intelligence officer, Kate Stepp.
“AI is fundamentally altering the financial landscape, and FactSet is proud to set the standard for trustworthy, impactful adoption,” Stepp said.
The tool includes a natural language agent for automated summaries and a comparison grid to benchmark different companies.
The Norwalk, Connecticut-based financial digital platform provider also unveiled an alpha version of an AI ecosystem for banking workflows. The software automates deal processes and research tasks through a collaboration with Finster AI, a company in which FactSet has also invested.
Users can generate pitch materials, memos and company profiles using natural language prompts within a secure environment. Stepp said the software delivers an agentic ecosystem that unlocks access to datasets and task automation capabilities.
It integrates with the FactSet workstation and Microsoft Office, allowing clients to incorporate proprietary data through various deployment configurations.
Clarity AI to Add New Climate Data Sets in Tie-Up With RiskThinking
Clarity AI will integrate granular climate-related data from more than three million assets into the US-based sustainability tech company’s platform as part of a deal with climate modelling provider RiskThinking.
The integration uses a digital twin platform to simulate hydrologic models across various climate scenarios and warming levels. The move is aimed at providing transparency into climate vulnerability and biodiversity impact.
“We are bridging the gap between corporate-level reporting and asset-level reality,” said Rebeca Minguela, chief executive and founder of Clarity AI. “While top-down models provide an essential high-level perspective, our partnership with RiskThinking adds the granular detail required for rigorous audit and risk analysis.”
The platform can be accessed via a web app, through artificial intelligence agents and through an API, an MCP and other connectors. It will “empower our clients to see the full picture of how climate and nature affect their portfolios”, Minguela added.
Gresham Renames S&P Data Management Acquisition Opus EDM
Enterprise data automation specialist Gresham has changed the name of the data management platform it acquired from S&P Global Market Intelligence.
Opus EDM, which was previously known as Markit EDM and IHS Markit EDM, has been integrated into Gresham’s portfolio to support data operations for financial institutions.
More than 150 firms use the software to manage about US$12 trillion in assets across global capital markets.
Gresham chief executive Mark Hepsworth said the new name heralds an era focused on product innovation, artificial intelligence enablement and managed services to reduce total cost of ownership.
Opus EDM operates alongside the existing Prime EDM product to offer buy-side and sell-side clients a broader range of technical capabilities.
FIX Trading Community Urges Regulatory Alignment in Response to FCA Consultations
The FIX Trading Community has called for significant changes to UK financial regulation in its formal response to FCA consultations on the UK consolidated tape and transaction reporting. Executive Director Jim Kaye emphasised that harmonising UK reporting rules more closely with EU standards would reduce complexity, lower the reporting burden, and improve the quality of market data. By addressing current concerns with post-trade transparency, the association aims to boost investor confidence in UK-based liquidity.
Regarding the 2027 equities consolidated tape, FIX recommends a single provider to ensure a “single source of truth.” Key proposals include aligning off-venue transparency exemptions with off-book exchange trades, removing duplicative reporting for trades already captured by EU Approved Publication Arrangements, and introducing disclosures for trade execution methodology. The association also seeks clearer regulatory guidelines for order chains and cross-border transactions to eliminate ambiguity in reporting responsibilities.
On transaction reporting, FIX advocates for a pragmatic approach to data sourcing, including the use of Legal Entity Identifiers for trusts and the FCA’s FIRDS as a primary data source. The response suggests removing specific RTS 22 fields while preserving essential transparency data. However, the association cautioned that proposed changes to data points, such as DEA indicators, may require significant system upgrades for firms. Overall, the recommendations focus on simplifying logic and maintaining data quality to support market integrity.
NetApp Unveils NVIDIA-based Software Stack to Manage Data for AI
NetApp has launched its AI Data Engine platform to manage enterprise data for artificial intelligence.
The software stack integrates with NVIDIA reference designs to create a unified metadata catalogue for global data estates. The system identifies and governs unstructured data by analysing file content in place to enrich metadata without moving files.
“Despite massive investments and market pressures to leverage AI for improved productivity and enhanced business decision making, data challenges are bottlenecking projects before they even reach production,” said Syam Nair, chief product officer at the data infrastructure company.
“To take back control of their data, customers need a mature enterprise-grade data platform that was designed disaggregated and intelligent from the beginning so that storage, services, and control scale independently without lock-in.”
The initial release begins this month for select partners, with broad availability scheduled for early summer across various cloud and on-premises environments.
Informatica Expands Microsoft Fabric Tie-Up
Informatica has deepened its integration with Microsoft Fabric and launched a new Swiss data pod.
The update provides general availability for the Intelligent Data Management Cloud to support Microsoft Fabric Open Mirroring. This integration enables customers to synchronise data from over 300 enterprise sources into mirrored databases with one click.
Embedding this support helps organisations streamline ingestion while ensuring data is governed and ready for analytics, the company said.
“As organisations are accelerating their AI and analytics initiatives, they require trusted context to succeed,” said Krish Vitaldevara, chief product officer at Informatica. “By embedding support for Microsoft Fabric Open Mirroring directly into IDMC, we are helping customers streamline ingestion from more than 300 enterprise sources while helping to ensure data is governed, high quality, and ready for analytics and AI at scale.”
A Switzerland-based infrastructure to support European data residency, sovereignty and local regulatory requirements has also been created.
S&P Global’s Capital IQ Pro Updated with AI and More Datasets
S&P Global has updated its Capital IQ Pro platform with artificial intelligence capabilities and expanded datasets.
The update integrates ProntoNLP sentiment analysis into document workflows and follows the acquisition of Drift AI to automate Excel-based financial modelling.
The developments build upon the 2025 purchase of ProntoNLP to enhance the assessment of earnings call transcripts and textual data.
Warren Breakstone, head of data and research at S&P Market Intelligence, said the company continues to deliver new AI-powered capabilities while unlocking the platform to support agentic use cases.
Expanded data coverage now includes four million structured securities, biopharma pipeline analytics and 20,000 private-market investment documents.