About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Genesis Global Launches Web Version of Trade Allocation Manager

Subscribe to our newsletter

Genesis Global, the low-code application development framework provider, has unveiled the web version of its Trade Allocation Manager (TAM), a multi-asset class middle-office solution designed to streamline operations and ensure regulatory compliance for financial markets firms. The TAM web application, built on the Genesis Application Development Platform, promises operational efficiency through the automation of trade matching, allocation, confirmation, and other critical middle-office tasks for both equities and fixed-income products.

The cloud-native solution is designed to integrate seamlessly with other web services, thereby reducing deployment costs and making updates and maintenance more efficient, according to the company. Enhancements include upgraded data visualisation, alerts, document management, and an AI service layer to enrich data analytics, processing, and exception management capabilities.

“Our platform-driven architecture gives us unique ability to respond to major industry changes like T+1 and also continuously update the features and configurability of TAM,” comments Niketta Postlethwaite-Williams, Senior Product Manager at Genesis Global. “The steady stream of innovation in the Genesis platform delivers an expanding array of functional and business componentry, AI-driven services and UI tools from which we draw to make TAM a modern and adaptable middle-office solution. With the web version, clients benefit immediately from the capabilities we add to TAM.”

Key features of TAM include centralised management of multi-asset class trade data, automation of trade matching and allocation through an extensive rules library, and robust monitoring and controls for exception management and audit purposes.

“Bringing all asset classes, markets and regions into a centralized middle-office solution is one of the most important things a firm can do to improve operational efficiency and enhance its compliance posture,” says Postlethwaite-Williams. “Having a single, unified middle office also positions financial firms to benchmark their post trade processes. TAM provides extensive metrics for performance analytics.”

Originally introduced in 2018, TAM is available in various deployment options, including on-premise, on-cloud, or as a hosted solution.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Valuations – Toward On-Demand Evaluated Pricing

Risk and regulatory imperatives are demanding access to the latest portfolio information, placing new pressures on the pricing and valuation function. And the front office increasingly wants up-to-date valuations of hard-to-price securities. These developments are driving a push toward on-demand evaluated pricing capabilities, with pricing teams seeking to provide access to valuations at higher frequency...