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

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: Detecting and preventing market abuse

Market abuse – unlawful disclosure of inside information, insider trading, circular trading, “pump and dump” schemes, etc. – poses significant threats to the integrity of capital markets. In 2024, global trading house Trafigura agreed to pay a $55 million fine to the U.S. Commodity Futures Trading Commission (CFTC) for trading with non-public information, manipulating a...

BLOG

A Holistic Approach to Regulatory Change Management: Insights from RegTech Summit 2024

In November, the RegTech community gathered for A-Team Group’s RegTech Summit in New York City, now in its eighth year. 2024 also saw a record number of national elections including the United States, the UK and six other G20 countries. The details of any changes in regulatory policy and any impact on Governance Risk and...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...