His client experience includes working across all elements of the credit process including origination, portfolio management and collections across multiple asset classes. His recent focus has been working with clients to identify how to use new data sources, digital processes and machine learning techniques to improve credit decision making.
Specifically, on collections and recoveries James has led over a dozen projects on collections and recoveries across Europe. In relation to conduct risk he has supported clients ensure they align to applicable codes of conduct in collections and worked in the UK on the development of conduct risk framework across both credit and non-credit products.
James holds an MA in Mathematics from Cambridge University, and the Part III Certificate of Advanced Study in Mathematics.