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: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Pilot-to-Production Discussion to Open First AI in Data Management Summit NYC

The countdown has begun to the inaugural A-Team Group AI in Data Management Summit NYC. Leading figures from the worlds of data and finance will gather at the event to consider the most pressing matters facing them as their companies embed artificial intelligence into their operations. The Summit builds on the success of 15 years...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...