Publicis Sapient and Murex Deliver Treasury Transformation for Aldermore Bank

Publicis Sapient and Murex have announced the successful implementation of the MX.3 front-to-back-to-risk platform for Aldermore Bank. The UK specialist financial services provider undertook this initiative to replace its legacy systems with a modern, integrated, cloud-based treasury platform. The primary objectives were to enhance treasury efficiency and provide greater hedging options for risk management.

Publicis Sapient led the transformation, tasked with blueprinting the target operating model and defining a resilient SaaS-based architecture. Aldermore opted for MXGO, a specific MX.3 packaged solution designed to reduce complexity and total cost of ownership while allowing for rapid deployment. This SaaS-based model supports the bank’s evolving needs through broad functional coverage and seamless integration across treasury workflows, ensuring scalability and regulatory compliance.

Clearstream Launches Next Data Solutions to Enhance Post-Trade Analytics

Clearstream, part of Deutsche Börse Group, has introduced Next Data Solutions, a new suite of analytics designed to increase transparency across the post-trade value chain. The offering unifies four specific products—SettlementNext, LendingNext, CollateralNext, and LiquidityNext—under a single framework. The primary objective is to enable financial institutions to shift from retrospective reporting to proactive decision-making, allowing them to anticipate settlement challenges, optimise collateral allocation, and manage liquidity in real time.

Within the SettlementNext product, Clearstream has introduced the T+1 Scorecard to support clients preparing for the accelerated settlement cycle in Europe. This tool provides insights into the operational effort required to meet T+1 compliance standards. Next Data Solutions is currently available to clients through the Clearstream Xact web portal, with additional analytics modules scheduled for release in 2026.

LSEG Integrates MCP Connector for ChatGPT users and OpenAI Enterprise Customers

LSEG is collaborating with OpenAI to integrate its financial data and news into ChatGPT via a Model Context Protocol (MCP) connector. As part of the ‘LSEG Everywhere’ strategy, this integration allows users with LSEG licensed credentials to access and analyse market data directly within the ChatGPT interface. The rollout will commence with LSEG Financial Analytics, enabling faster insights and deeper market analysis, with the connector expected to be live from the week of 8 December 2025.

Additionally, LSEG is deploying ChatGPT Enterprise to an initial 4,000 employees to streamline internal tasks and enhance productivity within a secure environment. LSEG will work alongside OpenAI’s technical success teams to ensure the effective adoption of these AI models. This partnership builds upon LSEG’s recent collaborations with other enterprise-grade platforms, including Microsoft and Databricks, to deliver trusted licensed data for AI applications in the financial services sector.

CJC Launches Market Data Continuity Support Service

Crown Jewels Consultants Ltd (CJC) has introduced Market Data Continuity Support (MDC), a flexible subscription service providing an on-demand safety net for mission-critical market data operations. Designed for financial firms that require operational resilience but do not need a comprehensive managed service, MDC addresses the risks associated with data failures, such as frozen prices and trading stoppages. The service grants clients priority access to CJC’s senior engineers to diagnose and resolve issues either remotely or on-site.

Offered through a fixed monthly subscription, MDC includes 24/7 access to global specialists and a specific allocation of on-site hours. A key feature of the offering is that every support request is treated as a Severity Level 1 incident, ensuring immediate triage and rapid resolution by experts familiar with real-time data environments. This approach allows firms to manage critical infrastructure costs while maintaining access to high-level technical support during operational emergencies.

LSEG Integrates Tick History Data with Google Cloud’s Vertex AI for Scalable AI in Finance

LSEG has made its historical tick data accessible via Google Cloud’s BigQuery and Vertex AI platforms, marking a key development in its AI strategy, “LSEG Everywhere.” This integration allows financial institutions to apply artificial intelligence and machine learning directly to LSEG’s tick history data, enabling data-driven insights to support trading and risk management decisions.

Using Vertex AI, customers benefit from accelerated query performance, significantly reducing processing time from hours to seconds. The platform supports agentic AI, allowing complex reasoning over unified proprietary and historical datasets. Additionally, the integration offers cost efficiencies by eliminating the need for on-premises infrastructure, and improves accessibility through natural language interfaces and SQL outputs. This move aims to make advanced AI capabilities scalable and more widely available across the financial sector.

SOLVE Partners with Charles River Development to Integrate Predictive Pricing for Fixed Income

SOLVE, provider of pre-trade data and predictive pricing for fixed income securities, has partnered with Charles River Development, a State Street company, to integrate SOLVE’s fixed income and predictive pricing capabilities directly into the Charles River Investment Management Solution (Charles River IMS). The aim is to enhance market transparency and efficiency for joint fixed income clients by embedding advanced analytics and predictive intelligence into their trading and portfolio management workflows.

The integration will allow clients to access SOLVE’s data directly within Charles River IMS, enabling traders and portfolio managers to monitor pricing in real-time, streamline analysis, and make more confident pricing decisions. Key SOLVE products being made accessible include SOLVE Market Data, which leverages over 24 billion daily quotes, and SOLVE Px Predictive Pricing, which delivers machine learning-based pricing predictions for over 250,000 corporate and 1.1 million municipal bonds. Clients will also gain access to BWIC Monitoring for more informed pre-trade analysis.

By unifying these data sources, the partnership aims to reduce the need for manual data handling and to provide buy- and sell-side institutions with a comprehensive view that combines both contributed market data and AI-generated insight. Unlike solutions focused solely on quote aggregation, the SOLVE integration promises a deeper, more actionable view of bond behaviour across various liquidity conditions, building on the company’s mission to expand transparency across fixed income markets.

Canoe Intelligence and Prime Buchholz Expand Partnership for Enhanced Private Markets Intelligence

Canoe Intelligence and Prime Buchholz have expanded their strategic partnership to deliver a comprehensive private markets intelligence solution, designed to provide alternative investors with rapid insights into their portfolios by connecting best-in-class capabilities across document collection, validation, and analytics. The goal is to eliminate the manual handoffs that traditionally slow down alternatives workflows, making the process more efficient.

Investment, research, and data teams can leverage the solution to track performance metrics, analyse and project cash flows, and identify various exposures across their alternative investments. This builds upon Prime Buchholz’s multi-year adoption of the Canoe platform, which it has used to automate document collection and data processing for its approximately 250 institutional clients.

Millennium bcp Partners with Murex to Enhance Market Risk Management

Millennium bcp, Portugal’s biggest private-owned bank, with operations also in Poland and Mozambique, has entered a strategic partnership with Murex, the trading and risk management solutions vendor. The bank will adopt Murex’s MX.3 platform to strengthen its market risk management capabilities and ensure compliance with the Fundamental Review of the Trading Book (FRTB).

The initiative will span the bank’s operations across all three countries, establishing a unified and robust risk framework. Murex will provide capabilities to monitor market risk across these geographies, covering the full spectrum of asset classes managed by the bank, including interest rates, foreign exchange, equities, credit, and derivatives.

This deployment is a key part of the bank’s risk transformation journey, aimed at aligning its oversight with global standards and enhancing operational efficiency. Implementation of the MX.3 platform is set to begin this year, with rollouts phased according to functional priorities.

T. Rowe Price Adopts Genesis Solution to Streamline Primary Bond Issuance Workflow

Asset manager T. Rowe Price has deployed the Primary Bond Issuance (PBI) solution from Genesis Global, to manage corporate bond deal workflows. The system will aid T. Rowe Price’s fixed income teams optimise how they track and invest in deals throughout the bond lifecycle.

The Genesis solution provides a consolidated, real-time view of deals by aggregating data from multiple providers. It was customised for T. Rowe Price with an algorithm that automatically merges multiple data sources referencing the same deal into one composite record. The PBI solution also integrates with T. Rowe Price’s existing portfolio modelling and order management systems and uses chat functionality for team collaboration.

The new solution replaces a internally-built system and is being used by traders, analysts, and portfolio managers in Baltimore, Hong Kong, and London. It initially covers investment-grade corporate bonds, but T. Rowe Price expects to extend it to high-yield and emerging-market corporate bonds shortly.

EuroCTP Selects BMLL to Provide Data Quality Calibration for EU Consolidated Tape Initiative

BMLL, the provider of historical data and analytics, has been selected to support EuroCTP as part of the European Union’s Consolidated Tape initiative for equities. The collaboration will focus on ensuring the high quality of data provided by the service.

The partnership will allow EuroCTP to validate its data quality control designs and calibrate the necessary thresholds and parameters before its potential launch. BMLL’s data scientists and analytics tools will help EuroCTP overcome the historical data challenges often associated with launching a new data product.

BMLL will provide EuroCTP with access to its data sets, which cover more than 100 trading venues. The company will also share its expertise to support EuroCTP in its goal of delivering a fully mature product by mid-2026.