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

A-Team Insight Blogs

IBM Combines Algo Risk Service with Managed Data to Deliver Cloud Risk Analytics

Subscribe to our newsletter

IBM has combined its Algo Risk Service, a cloud-based risk offering acquired with Algorithmics in 2011, with cloud managed data services to deliver IBM Algo Risk Service on Cloud, a risk analytics solution that transforms upstream and downstream data to make it available for portfolio and enterprise risk modelling.

The service is offered as a multi-asset class managed risk service on cloud and can be deployed in a variety of ways to meet user requirements. For example, the software element of the service can be installed on premise and data management can be sourced from the IBM cloud. Alternatively, data management and product modelling, including simulation and valuation, could be put in the cloud, with data aggregation and risk modelling on premise.

Dr Andrew Aziz, director of research, financial engineering and on-cloud solutions at IBM Risk Analytics, explains: “Algo Risk Service on Cloud gives clients more transparency around risk modelling. Clients have a choice of market data vendors to use with the service, but with the inclusion of data management they have greater ability to drill down into the data. Full data transformation means they can use a hybrid model in terms of where the software and data reside, but still have an accurate and transparent view of risk across the enterprise.”

In addition to Algo Risk Service on Cloud, IBM has introduced Algo Risk Service Risk & Financial Engineering Workbench on Cloud, essentially a sandbox that allows users to drill down into the risk analytics and tell IBM how they would like it to change the production environment in the IBM cloud. On this, Aziz comments: “This hybrid solution provides a balance of cost of ownership and flexibility, allowing clients to use the cloud, but also the workbench, to specify their own production set up. About a quarter of Algo Risk Service on Cloud users are evaluating the workbench to achieve more transparency and flexibility.”

In terms of cloud solutions for risk reporting, and to give clients a range of options from static to customised reports, IBM has restructured existing cloud services to deliver Algo Risk Reports on Cloud. This allows users to submit portfolios for risk analysis using an IBM risk framework and for preconfigured reports to be returned. The reports are designed to meet regulatory, investor and investment manager requirements. IBM also offers customised risk reports and active investment reports providing risk information on demand.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

FINOS Puts Common Domain Model (CDM) 7 into Production

In July, the FinTech Open Source Foundation (FINOS) released CDM 7 on GitHub consolidating more than 130 individual upgrades and development releases and followed up with a detailed analysis on August 14. The analysis was authored by Lionel Smith-Gordon and Ben Page of REGnosys, an active corporate member and key technology contributor to FINOS. The...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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...