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

Suvrat Bansal Describes Digitalisation at UBS Asset Management

Subscribe to our newsletter

Digitalisation is at the top of the agenda at many large capital markets firms, but how can it be achieved without disruption and with outcomes that benefit your clients, staff and stakeholders? Suvrat Bansal, head of innovation and chief data officer, and managing director at UBS Asset Management, will share his experience of leading a major digitalisation programme at the asset manager at this week’s A-Team Group Data Management Summit in New York City.

To give you a little insight into Bansal’s success story at UBS, we talked to him ahead of the event to find out how he has approached and is implementing digitalisation across the firm. The focus, in line with UBS Asset Management’s long history, is on providing innovative investment products and services for clients, and improving client service. The data strategy involves people and information, and is designed to equip staff with the digital information they need, when they need it and make everyone more productive.

Bansal explains: “We have approached digitalisation in two ways: edge cases, such as UBS Partner, where we are developing new digital advisory services for our clients; and digital transformation of our current businesses, which requires significant engagement, staging and careful execution. Executing these in parallel with data at the centre is ultimately where we add most value.”

To create an inclusive programme, Bansal decided on a relatively simple and easily understood implementation policy. The policy creates central capabilities in analytics, master data and data governance. These capabilities are then offered to business and functional leaders for their digital transformation efforts prioritised by value drivers. The goal is to provide access to the central capabilities in data and technology, empowering divisional leaders to develop digitalisation in their areas.

Bansal says: “Each transformation effort is defined as a ‘service pod’. Each pod develops metrics on the state of its business area and what it should look like after digitalisation. Triangulation of service pods, central data capabilities, and technology, drives organic transformation internally.”

The programme is investing in new technologies where appropriate and making best use of open source solutions. It is also looking actively at the integration of alternative data to drive new products and services, but only if they work for the firm’s investment products and clients. As Bansal concludes: “The drivers behind optimal digitalisation are the same as always, improvements for our clients.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Personal Investment Pain Point Sparks Idea for Fast-Growing Wealth Tech Firm Goodfin

Anna Joo Fee had a problem. The Wall Street lawyer was so busy in her job that managing her wealth adequately was difficult. Her options were limited, however. Institutions wanted the capital that high earners could offer, but were not best placed to serve the market. And she wasn’t confident in her own knowledge to...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...