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

NatWest Markets Chooses Dataiku’s Data Science and Machine Learning Platform

Subscribe to our newsletter

Dataiku, an enterprise AI and machine learning platform headquartered in New York, has entered into a partnership with NatWest Markets, the investment banking arm of The Royal Bank of Scotland Group. Under the agreement, Dataiku will provide NatWest Markets with self-service analytics and automated machine learning.

NatWest Markets has already developed digital self-service applications covering FX, rates, risk management, international payments. Its new agreement with Dataiku will allow the bank to access a centralised data platform with the goal of driving collaboration between its technical and front office users, powering self-service analytics and ensuring that machine learning models are put into production as efficiently as possible to improve trade execution. Strategic roles across the bank, including users in Client Analytics, FI Algorithmic Trading, FX Trading, as well as analysts, subject matter experts, quants and data scientists will use the platform.

The platform enables data analysts and other domain experts to use data in its raw format to analyse, prepare and automate data, with an end-to-end, centralised collaborative data science and analytics platform replacing separate tools for data preparation, coding and AutoML.

“We made a decision to accelerate our AI journey by democratising machine learning and data science across our investment banking division,” says Oliver Cooke, Chief Digital Officer at NatWest Markets. “This allows us to enable users with different skill levels to undertake machine learning and advanced analytics in a governed, automated and scalable manner.”

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

AI Agents are Rewriting the Future of Banking Data, Says Smartstream

Intelligent semi-autonomous AI agents promise a powerful solution to many challenges with the financial space. But their need for good-quality data is also highlighting the shortcomings that remain within some institutions’ data architectures. This apparent chicken-and-egg situation is one that Thomas Steinborn, chief product and technology officer at Smartstream, believes can only be resolved by...

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

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...