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

Recorded Webinar: An Agile Approach to Investment Management Platforms for Private Markets and the Total Portfolio View

Data and operations professionals at private market institutions face significant data and analytical challenges managing private assets data. With investors clamouring for advice and analysis of private markets in their search for returns, investment managers are looking at ways to gain a more meaningful view of risk and performance across all asset types held by...

BLOG

Strong Governance, Privacy Policies Can Negate AI Risks, Informatica Says

Debate about the limitations of artificial intelligence (AI) in data management was stoked further this week when a leading vendor warned that applications built on nascent large language model (LLM) technology could pose an “existential threat” to companies if not deployed thoughtfully. Jason du Preez, vice president of privacy and security at cloud data management...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...