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: The challenges and potential of data marketplaces

Data is the lifeblood of capital markets. It is also a valuable commodity providing financial institutions with additional insight when gathered in an internal data marketplace, or packaged and sold externally to other institutions. While the theory is sound, the practice of setting up a data marketplace can be challenging. Internally, vast amounts of data...

BLOG

Alveo Sets Sights on Accelerating Market Data Migration to Cloud and Improving Business User Access to Data

Alveo has set out its next stage strategy with a focus on two key themes – accelerating client migration of market data to cloud, and building out its self-service data provision for business users. Also on the agenda are ESG data management, industry partnerships, and development of AI tools. To find out more about the...

EVENT

TradingTech Summit London

Now in its 12th year the TradingTech Summit London brings together the European trading technology capital markets industry, to explore how trading firms are innovating in today’s cloud and digital based environment to create flexible, scalable trading platforms to support speed to market and business agility.

GUIDE

Entity Data Management Handbook – Third Edition

Welcome to the third edition of the Entity Data Management Handbook which is available for free download. In this updated edition we delve into the role entity data plays in the smooth running of financial institutions and capital markets, the challenges of attaining high quality data, and various aspects, approaches and technologies involved in managing...