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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Why your Technology Spend isn’t Delivering the Productivity you Expected

By Gareth Evans, Chief Product Officer, FINBOURNE. An uncomfortable truth: technology spend in asset management has surged 8.9% annually over the past five years across North America and Europe. But productivity? Flat. Cost as a share of assets under management (AUM)? No improvement. Operational expenses in other functions? Despite the promises that technology would create...

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

What the Global Legal Entity Identifier (LEI) Will Mean for Your Firm

It’s hard to believe that as early as the 2009 Group of 20 summit in Pittsburgh the industry had recognised the need for greater transparency as part of a wider package of reforms aimed at mitigating the systemic risk posed by the OTC derivatives market. That realisation ultimately led to the Dodd Frank Act, and...