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

Risklab Centralises Risk Data Management with Xenomorph TimeScape

Subscribe to our newsletter

Risklab, the investment and risk solutions specialist within Allianz Global Investors, has implemented Xenomorph’s TimeScape to provide a dynamic risk data management platform that can support the risk services it operates on behalf of its institutional clients.

The company considered a number of data management solutions before selecting Xenomorph’s TimeScape analytics and data management system. The company cites TimeScape’s its flexible, object-oriented model and user-friendly application programme interfaces, which make it quick to model data, add new instruments and structures, and create dynamic risk reports and strategies. The software was implemented earlier this year and is now in full production.

According to Brian Sentance, CEO of Xenomorph, “Risklab was pulling together data from a variety of databases and spreadsheets for analysis, but it was hard work. It needed a central database and the ability to validate, control and ensure consistency of data. It also needed tools that could be used by quants to help them create strategies. This played to our key strengths in data management for risk. TimeScape supports all kinds of data from reference data to real-time data and can be easily integrated with pricing models, calculation engines such as MathWorks’ Matlab and vendor risk engines.” Risklab has an established relationship with IBM’s Algorithmics for the supply of risk management software.

Commenting on Risklab’s use of TimeScape, director Bernhard Brunner, says: “Compared with relational databases, TimeScape’s intuitive object-oriented data model has allowed our financial engineering team to quickly implement new strategies with little or no programming, making it even easier to keep up with ever-changing client requirements.”

Sentance says productivity and resulting time to market are key benefits of TimeScape, but he also points to the software’s object-oriented data model and visual front end that allow both IT and business users to understand and analyse risk data. “Risk engine and pricing model vendors focus on calculations and assume data is perfect, but that is not always the case. Risk managers spend time validating data, so there is a pragmatic need for high-quality and consistent underlying data for risk analyses and model creation. This is our sweet spot,” he says.

Risklab is not alone in its use of Xenomorph, which also names Rabobank, Insight Investment and Société Générale Securities Services among its customers. The company’s recent geographic expansion has netted clients in South America, India and Scandinavia, and added to existing bases in the UK, North America and Asia-Pacific, while product development will soon deliver a version of TimeScape that is dedicated to data management for risk.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

Testing Industry Perceptions at Data Management Summit London

Every year at the A-Team Group Data Management Summit we take the pulse of the financial data and tech industry on a range of critical topics of the day. We do this through audience participation questions during the day-long event, urging delegates to interact with speakers and other participants via remote voting on salient questions....

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...