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 Adds Post-Trade Products, Plans Platform-as-a-Service Solution

Subscribe to our newsletter

genesis has brought its microservices framework, business component library and development acceleration tools to post-trade operations with a view to helping both sell-side and buy-side firms automate workflows and improve operational efficiency. The post-trade portfolio adds to other trading products built by genesis with anchor clients and then made available to the market, and will be a component of the company’s emerging platform-as-a-service model.

genesis’ technology breaks down business problems into small functional components and brings together APIs, a database, web GUI and tools as a ‘ready-to-solve’ cloud-based service that can provide agility, deliver solutions in days and weeks rather than months, and reduce the complexity of building products. Post-trade tools support functions such as fee calculation, data digitisation and data reconciliation.

The post-trade business is headed by David Pearson, who recently join genesis as head of post-trade services. He says: “Our accelerated software development capability allows issues and workflows previously solved with spreadsheets to be rapidly digitised and deliver value to the business in incredibly short timeframes.”

One example of the company’s speed of development is a project that assesses the accuracy and timeliness of regulatory trade reporting across multiple data sources for a global broker/dealer. From initial client meeting to understanding requirements, the database, data processing and management information system reporting engine were constructed and presented in under 10 days.

Stephen Murphy, CEO at genesis, says the opportunity to develop post-trade services came from a large Latin American broker that needed a post-trade platform for both outgoing and incoming message flows. It also had to be a multi-asset platform. He comments: “There was a gap in the post-trade market for a provider of services across asset classes. By filling the gap, we can help firms gain visibility of all their trading information, which would allow them, for example, to start to look at client profitability.”

The post-trade services add to four genesis products – Automated Quoting System (AQS), Realtime Portfolio Margin (RPM), Trade Allocation Manager (TAM), and

Matcher Realtime Reconciliation (MRM) – and more are in the pipeline. Going forward, the company plans to combine its products and technologies to deliver a platform-as-a-service model that will be no code or low code and allow trading tools to be built and delivered to clients even faster.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

DiffusionData Targets Agentic AI in Finance with New MCP Server

Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...