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

7Rivers Q&A: Enabling Modern Data Processing

Milwaukee, Wisconsin-based 7Rivers gives its clients the tools to draw actionable insights and real-world applications from their data. A-Team Group Data Management Insight spoke to Jessica Emhoff, Vice President of Marketing, about the company and how it is empowering financial institutions. Data Management Insight: Hello Jessica. Can you tell us a bit about how 7Rivers...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Enterprise Data Management, 2009 Edition

This year has truly been a year of change for the data management community. Regulators and industry participants alike have been keenly focused on the importance of data with regards to compliance and risk management considerations. The UK Financial Services Authority’s fining of Barclays for transaction reporting failures as a result of inconsistent underlying reference...