Steven Finlay is a data scientist with more than 20 years experience of developing practical "value add" machine learning solutions in large scale data environments. He holds a PhD in management science and is an honorary research fellow at Lancaster University in the UK. 

Steve has previously been employed by one of the UK's top banks to manage their suite of predictive credit risk models, has developed machine learning approaches for the UK government and worked for a number of consultancy groups. He is currently Head of Analytics for Computershare Loan Services (CLS) in the UK.

Steven has published a number of practically focused books about machine learning, artificial intelligence and financial services. His most recent books include: 

Finlay, S. (2018). Artificial Intelligence and Machine Learning for Business. Third Edition. 

Finlay, S. (2015). Predictive Analytics in 56 Minutes. First Edition.

Finlay, S. (2014). Predictive Analytics, Data Mining and Big Data. Myths, Misconceptions and Methods. First Edition.

Finlay, S. (2012). Credit Scoring, Response Modeling and Insurance Rating. A Practical Guide to Forecasting Consumer Behavior. Second Edition.

Finlay, S. (2010). The Management of Consumer Credit. Theory and Practice. Second Edition.

Finlay, S. (2009). Consumer Credit Fundamentals. Second Edition.

Steve is very relaxed when it comes to discussing his work and always likes to hear from readers. If you have any questions or comments about his books, or would like to chew that fat a little about Machine Learning or AI, then he would love to hear from you at: steve.finlay@relativistic.co.uk.