LSEG Unveils Market Risk Optimisation Service for FX Options Desks

LSEG has launched Market Risk Optimisation, a new service from Post Trade Solutions, after a successful proof of concept with 13 sell-side FX options desks. Integrated with LSEG’s FXall platform, the service applies proven optimisation technology to help participants trade in and out of market risk more efficiently, unlock liquidity, and lower transaction costs.

The multilateral process analyses participant axes across tenors and risk exposures, proposing an optimised set of trades within each client’s constraints. Analytics are powered by the Open Source Risk Engine (ORE), built on QuantLib, providing transparent and robust valuation and risk measures.

Building on LSEG’s optimisation capabilities first introduced via Quantile in 2017, the new service shifts focus from counterparty metrics to trader-defined market-risk axes. It captures constraints, generates a hedge proposal, and automates trade booking, with end-to-end cycles designed to complete within 30 minutes.

Banco de Chile Partners with Integral to Enhance FX Operations and Digital Strategy

Banco de Chile has formed a strategic alliance with Integral, the specialist currency technology provider, to upgrade its foreign exchange (FX) capabilities. The collaboration sees Banco de Chile implementing Integral’s Price Engine and Liquidity Aggregation products. These tools are being used to centralise the bank’s FX pricing logic and optimise its execution workflows, aiming for greater efficiency and accuracy in its trading activities.

A core element of the project is the link between Integral’s platform and Datatec, Chile’s main interbank FX infrastructure provider. This allows Banco de Chile to pull real-time spot prices and generate executable rates across multiple channels, from multi-dealer platforms and internal sales desks to white-label client platforms covering offshore NDFs, USD/CLP spot and forwards, and swaps.

The result is full end-to-end automation of FX operations, reducing the resource burden and operational costs that still dominate much of the region. With this upgrade, Banco de Chile strengthens its position in the market and sets itself up to scale its FX services more efficiently across all segments, both domestically and internationally.

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.

Deutsche Börse Group and Societe Generale Partner to Accelerate Tokenised Cash Integration

Deutsche Börse Group, Societe Generale Group, and Societe Generale – FORGE (SG-FORGE) have signed a partnership agreement to speed up the integration of token-based cash solutions with existing financial market infrastructure. The collaboration aims to drive the adoption of stablecoins within European digital markets, with SG-FORGE’s CoinVertible stablecoin being key to this effort. The integration of CoinVertible as a payment and settlement instrument will bolster both groups’ digital strategies and complement Deutsche Börse Group’s current service offerings.

The initial phase of the partnership will focus on strengthening CoinVertible’s collateral management structure and its usability as a settlement instrument within Clearstream, the post-trade business of Deutsche Börse Group. This includes its application for securities processes, collateral management, and treasury functions. CoinVertible’s liquidity is also set to improve through a new listing on Deutsche Börse Group’s digital trading platforms.

Future steps involve jointly assessing the integration of both the EUR and USD CoinVertible stablecoins across Deutsche Börse Group’s entire service portfolio. This will broaden the use cases for robust, MiCA-compliant stablecoins, making them natively suitable for financial institutions and the wider cryptocurrency industry.

Singapore Regulator Frames AI Risk Reduction Guidelines

The Monetary Authority of Singapore (MAS), the city-state’s financial regulator, has issued a consultation paper proposing guidelines on artificial intelligence risk management for financial institutions.

The proposals apply to all financial institutions and set out expectations on oversight of AI risk management, systems, policies, procedures, life cycle controls and capabilities. These guidelines follow MAS’ supervisory review of banks’ AI use in 2024 and discussions with institutions.

Ho Hern Shin, Deputy Managing Director, said: “The proposed Guidelines on AI Risk Management provide financial institutions with clear supervisory expectations to support them in leveraging AI in their operations.”

LakeFusion Closes Funding Round to Expand AI MDM Offering to Financial Sector

AI-native master data management platform LakeFusion said it has closed its seed funding round after raising an undisclosed amount.

The investment was led by Carbide Ventures and will support the Austin, Texas-based firm’s expansion into sectors including financial services, real estate and healthcare.

The funding round underscores the demand for modern approaches to trusted data as enterprises increase their reliance on artificial intelligence.

“Our platform brings intelligence, scalability and simplicity to enterprise data,” said Vikas Punna, founder and chief executive of LakeFusion.

ESG Risk Platform GreenFi Raises $2m in Seed Investment

GreenFi, an ESG compliance risk management platform, said it has raised $2 million in a seed funding round that was led by Transition VC, India’s first energy transition-focused venture fund.

The cash injection will be deployed to expand the company’s distribution network and presence across key markets.

GreenFi uses artificial intelligence and language models to automate due diligence and reporting for compliance, which traditionally requires manual workflows.

GreenFi founder Barun Chandran said the company is building AI agents to enable teams to extract insights and streamline workflows.

FactSet Wins Market Data Supply Contract with TD Wealth in Canada

FactSet has began a multi-year contract to provide market data to TD Wealth in Canada.

The agreement installs FactSet Workstations for Private Wealth Management and TD Direct Investing employees nationwide. It also utilises FactSet content feeds and APIs to power the retail client portals in Canada. The deal is expected to enable simpler, faster execution across the businesses.

“Access to high-quality market data helps our colleagues simplify how they work and deliver faster for clients,” said Wallace Barbour, associate vice president, solutions and enablement at TD Wealth.

Greenshoe Secures Funding to Advance AI-Native SEC Disclosure Capabilities

Chicago based RegTech company Greenshoe has raised $3 million in seed funding to scale its AI-driven platform for U.S. Securities and Exchange Commission (SEC) disclosures—an area long burdened by fragmented workflows, manual drafting, and costly review cycles. The investment round, led by AIX Ventures with participation from Hearst Level Up Ventures, Blueprint FTC, Service Provider Capital and others, supports Greenshoe’s broader ambition to modernise how public companies prepare regulated filings.

Preparing core disclosures such as 10-Qs and 10-Ks remains one of the most labour-intensive processes in corporate finance. By some estimates it can take “about 180 hours just to prepare a 10-Q,” with overall costs ranging “from roughly $50,000 for smaller companies to well over $1 million for large-cap enterprises.” Greenshoe positions its platform as an AI-native alternative, drawing on regulatory precedent, market norms, and live company data to improve speed, accuracy, and consistency.

Payton McCoy, Greenshoe’s CEO and co-founder, highlights the inertia that continues to shape corporate reporting workflows. “SEC filings are the foundation of market transparency, but the workflows powering them are stuck in a pre-AI world,” he noted. His experience as a practising lawyer underscores the need for change. “As a lawyer, I spent hundreds of hours manually preparing SEC disclosures, including 10-Ks, 8-Ks, and IPO filings. That said, Greenshoe is about more than just saving time. It’s about improving disclosure quality and making this work easier to do. We’re laying the rails for a smarter, faster capital markets ecosystem.”

Rather than acting as a simple drafting assistant, the platform is designed to manage the specialised tasks that make SEC reporting so resource-intensive. These include:

• Real-time compliance checks and validations
• Draft generation informed by regulatory precedent and market comparables
• Analysis of SEC comment letters and support for response drafting
• Peer-based benchmarking and research

CTO and co-founder Dr. Yi Zhang described the system’s adaptive architecture: “We’re building the infrastructure layer for AI-native disclosure intelligence. Our deep-research agent fuses reasoning, evaluation, reflection, and human feedback into a continuous improvement loop. Every interaction sharpens the system, compounding domain expertise into an advantage that makes the platform more intelligent.”

This continuous-learning approach underpins Greenshoe’s focus on complex document processing. Its architecture combines agentic retrieval-augmented generation (RAG), structured reasoning around SEC requirements, and benchmarking against peer disclosures. The result is a system that not only drafts content but interprets disclosure trends, assesses context, and aligns filings with evolving regulatory expectations.

Investors say this blend of regulatory expertise and technical depth sets the company apart. As AIX Ventures partner Jason McBride put it: “SEC disclosures are among the most important and complex documents in corporate finance, and Greenshoe is the first team we’ve seen that truly understands both the regulatory nuance and the AI infrastructure required to modernize them. We invested because Greenshoe isn’t just building a tool. They’re defining an entirely new layer in the regulatory tech stack.”

Greenshoe is targeting the approximately 4,700 U.S. public companies that must repeatedly navigate SEC disclosure cycles, internal approvals, and market comparables. Early adopters include legal teams and capital markets practitioners, with reported time savings of up to 90% on some tasks.