Lead Data Science Consultant
Steve is one of the UK's leading data scientists.
With over 25 years’ experience of providing analytical solutions to the financial services industry, he specialises in predictive analytics and its application within Big Data environments.
Previously, Steve worked at Computershare Loan Services as Head of Analytics, The Co-Operative Bank as Senior Manager for Risk Models, HMRC as a predictive analytics consultant and earned a PhD in Management Science from Lancaster University. He has written several academic and business books. The new edition of his latest book, “Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies” was published last year.
Repairs, Maintenance and Tenant Safety: Is the AI Opportunity Being Missed?
The pressure on the housing sector to improve tenant well-being, specifically in repairs and maintenance, is unprecedented, despite rent increase caps and rising material/labour costs. In this article, Steve Finlay explores the untapped potential in AI technologies, particularly in predictive maintenance, that could transform the sector.
Taking stock of the FCA’s interim findings for remediating the credit information market
The FCA's proposals to improve the credit information market could have significant implications for credit reference agencies, lenders, and borrowers alike. In Steve's latest article, he reviews the interim report/discussion paper and outlines potential remediations - including what they could mean for the future of CRAs.
(Machine) learning to live with CP6/22
Steve Finlay, one of the UK’s leading data scientists, examines how AI can be leveraged for model risk management and CP6/22 regulations.