About us

Our vision is a world in which all capital allocation is driven by environmental, social and financial returns.

Util is a London-based financial technology company changing the way the world invests. Using machine learning to measure the impact of every company, we’re working with investors to build the next generation of investment solutions.

Our team

Stephen created Util with Abdel in 2017, having spent five years in corporate finance at HSBC. He has always had an interest in social entrepreneurship, most recently setting up a school in Mozambique. Stephen graduated from Cambridge with a first-class degree in Social and Political Sciences.


Abdel created Util with Stephen in 2017, after graduating from the University of Oxford with a Master’s in Computer Science and focus on machine learning and data science. He left behind a career in hedge fund data science after becoming involved in Effective Altruism at the University of Oxford.


David has over 25 years of experience in financial services in the US, UK and Europe. He has established, managed and advised the retirement and investment businesses of some of the world’s largest asset managers, including Fidelity, Capital Group and BNY Mellon.


Meghna joined Util from BlackRock, where she spent four years in asset management and financial markets advisory functions. She has prior research experience at The Brookings Institution and in impact philanthropy at Wharton Business School. Meghna holds a degree from the University of Pennsylvania.

Finance & Operations

Richard is a chartered accountant with a background in auditing, particularly financial reporting and management. He spent 10 years as an Audit Manager at Oxford-based Critchleys before joining Util, where he has responsibility for all matters financial and regulatory.

Marketing & Communications

Elisabeth joined Util from T. Rowe Price, where she worked in content marketing with a focus on ESG. She previously held positions in investment writing and PR at Legal & General Investment Management. Elisabeth graduated from Cornell University with a degree in English Literature.

Machine-Learning Engineer

Ewen earned his PhD in High Energy Physics at Imperial College London, as one of the first graduating cohorts of the Schrödinger Scholarship Scheme. With a strong background in theoretical and computational physics, he has worked on a host of different problems across seven different countries.

Machine-Learning Engineer

Jose joined Util from data consultancy SDG Group, where he was a Business Intelligence Consultant. He graduated from King’s College London with a Master’s in Robotics and has also studied finance at the London School of Economics. Jose holds a BA from Barcelona’s Universitat Politècnica de Catalunya.

Machine-Learning Engineer

Prior to Util, Alex worked in the low-carbon energy sector. Most recently he was a Consultant at Element Energy, where he developed software and applied machine learning to problems in energy networks. Alex holds an MSci in Chemistry and a BA in Natural Sciences from the University of Cambridge.