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

A-Team Insight Blogs

Asset Control Integrates Matlab with AC Plus Data Management Platform

Subscribe to our newsletter

Asset Control has integrated its AC Plus data management platform with MathWorks’ Matlab financial analytics language to bring data and financial models closer together and deliver more robust calculation and validation of risk factor and valuations data.

The integration recognises the use of Matlab by many Asset Control customers and overcomes the need to move data back and forth between the products. It makes master datasets in AC Plus more accessible to users writing models in Matlab and allows compiled code to run within AC Plus, typically in a production environment. It also supports dynamically executed code called from AC Plus that is typically used for ad hoc work or iterative model development directly on top of the data.

The integration adds Matlab to the R and C++ analytical languages that are already tightly integrated with AC Plus, and supports regulations that require closer integration and coordination between data and models.

Steve Wilcockson, industry manager, financial services at MathWorks, explains: “Regulations such as BCBS 239 and the Fundamental Review of the Trading Book (FRTB), and stress tests required by the US Comprehensive Capital and Analysis Review (CCAR), European Banking Authority and Bank of England, place increasing importance on financial modelling working alongside high quality regulatory data. By integrating Matlab with AC Plus, we can support greater robustness, transparency and confidence in this process.”

Martijn Groot, vice president of product management at Asset Control, notes the logistical benefits of having data in one place, including the ability to manage version control and audits of both data and models, and the data governance gain of maintaining data integrity. He expects asset managers to use the integrated solution for asset valuation, to create fair value and to build proxy models for illiquid assets in a portfolio. Banks are expected to use the solution to price complex derivatives and build statistical models for risk management. Early adopters include two banks that are testing the integration of AC Plus and Matlab in their own environments.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Post-Trade Transformation: Automating Clearing & Settlement

Date: 1 December 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The UK, EU and Swiss markets move to T+1 settlement on 11 October 2027, but the first binding compression arrives almost a year earlier. ESMA’s amended settlement discipline RTS expects allocation and confirmation completed by 23:00 CET on trade...

BLOG

There Is A Blind Spot In The Modern Data Stack That Will Kill The Buy-Side’s AI Ambitions

By Mihir Shah, adviser to FINBOURNE Technology. For a long time now, financial institutions have poured billions into building what has become known as the modern data stack. Data lakes, warehouses, ingestion pipelines and cloud platforms have all become the dominant blueprint for becoming a data-driven organisation. Yet the industry’s enthusiasm rests on a flawed...

EVENT

RegTech Summit New York

Now in its 10th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...