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

SimCorp and MSCI Develop Direct Link Between Dimension and RiskManager

Subscribe to our newsletter

SimCorp and MSCI are developing a direct data and analytics link between the former’s Dimension investment management solution and the latter’s RiskManager platform with a view to offering users of both products operational efficiencies and support for better informed investment decisions. A link between Dimension and MSCI’s BarraOne risk management solution is also on the roadmap.

An initial interface and workflow allow common clients of SimCorp Dimension and MSCI RiskManager to load position holdings from Dimension directly into MSCI RiskManager, which includes a time series-based, granular risk analytics model and is typically used in the middle office. RiskManager calculations, including value at risk, are then reported back and stored in a separate database built by the Dimension user to house risk information.

Moving beyond this initial solution, which is available immediately and has been deployed by Swiss & Global Asset Management as a pilot customer, the companies intend to report the results of MSCI’s RiskManager calculations directly to SimCorp Dimension. This will give SimCorp Dimension users easy access to back-testing, value at risk calculations, historical data and analytics, reducing operational complexity and providing a clearer picture of risk exposure to support investment decision making. Data consolidation within SimCorp Dimension is also expected to make data more accessible for reporting, improve data consistency and reduce data storage and management costs.

This element of the solution will close the loop between SimCorp Dimension and MSCI RiskManager and be available in the third quarter of 2014, ahead of fourth quarter availability of a similar interface between SimCorp Dimension and MSCI BarraOne, which includes a fundamental factor risk analytics model and is typically used in the front office.

While users of both SimCorp Dimension and MSCI RiskManager can link the products by building middleware, Derek Kannenberg, Product Manager, Risk Management Analytics, MSCI, describes the task as onerous in terms of building and maintaining a solution that can prepare the detailed data required for risk calculations.

Else Braathen, domain manager, Risk Management at SimCorp, adds: “Our clients asked us for help to develop an interface between SimCorp Dimension and MSCI’s RiskManager because it is not easy for them to do this. We expect all our buy-side clients, whether or not they are also MSCI customers, to find this interface and workflow solution compelling.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

AI Becomes Mainstream for Compliance – Nasdaq’s 2025 Survey

In the tenth edition of the Nasdaq Global Compliance Survey, conducted in May–July 2025, compliance and regulatory-risk professionals from 103 firms across the Americas, EMEA and APAC shared their priorities, challenges and planned investments. This year’s survey features a senior audience with 72 % having ten or more years’ experience in compliance covering director and...

EVENT

RegTech Summit New York

Now in its 9th 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

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...