Steve Finlay
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.
AI risk modelling: Regulatory compliance and ethical considerations
Understand the key regulatory considerations and ethics when leveraging AI for risk modelling.
Model Risk Management in an AI-Driven World [SS1/23]
Nearly all AI-driven applications are based on a type of mathematic model - so it's unsurprising that AI-related risk and model-related risk are invariably linked. Examining the Bank of England's supervisory statement on model risk management, Steve Finlay unpacks how firms, in an AI-driven world, can respond to the five principles outlined.
2024: What's next in AI?
As we reflect on the progress of 2023 and gaze into the future of 2024, the potential for AI's impact, especially in financial services and credit risk management, is immense.
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.