Credit Scoring and Credit Control Conference XVII (Online), will be accessible remotely and will use ‘EventsAir’, a virtual event technology to provide a comprehensively curated programme.
Delegates and speakers will receive detailed ‘joining instructions’ the week before the conference.
The conference will include an event app.
This will be available as a free download for all registered delegates. It has primarily been designed to help you make personal connections with other attendees (subject to your permissions).
The software also offers live event notifications, personalised schedules across the whole of the conference and options to search all abstracts.
The keynote speaker sessions and presentations will be recorded, and will be made accessible to delegates who have purchased a ticket to include recordings, with access for six months after the conference.
We are pleased to announce our keynote speakers:
Emeritus Professor of Mathematics and Senior Reseach Investigator, Imperial College London, UK
Professor Hand is the former chair of the Statistics Section of Imperial College, London. He is a Fellow of the British Academy and a former President of the Royal Statistical Society. He has been awarded many honours, including the Guy Medal of the Royal Statistical Society, the Box Medal from the European Network for Business and Industrial Statistics, the International Research Medal of the IFCS, and was made Officer of the Order of the British Empire (OBE) for research and innovation in 2013.
Professor Hand has collaborated with most of the major players in the retail credit world, developing tools for credit scoring and fraud detection. Between 2010 and 2018 he took an extended sabbatical to work as Chief Scientific Advisor to Winton Capital Management. He has published over 300 scientific papers and 31 books, including Principles of Data Mining, Measurement Theory and Practice, The Improbability Principle, Statistics: A Very Short Introduction, The Wellbeing of Nations, and From GDP to Sustainable Wellbeing. His latest book, Dark Data: Why What You Don’t Know Matters, deals with the challenges for statistics, machine learning, and AI arising from incomplete and distorted data.
Dr Agus Sudjianto
Head of Corporate Model Risk, Wells Fargo Bank, USA
Agus Sudjianto is an executive vice president, head of Model Risk and a member of Management Committee at Wells Fargo, where he is responsible for enterprise model risk management.
Prior to his current position, Agus was the modeling and analytics director and chief model risk officer at Lloyds Banking Group in the UK. Before joining Lloyds, he was an executive and head of Quantitative Risk at Bank of America. Prior to his career in banking, he was a product design manager in the Powertrain Division of Ford Motor Company.
Agus holds several US patents in both finance and engineering. He has published numerous technical papers and is a co-author of Design and Modeling for Computer Experiments. His technical expertise and interests include quantitative risk, particularly credit risk modeling, machine learning, and computational statistics.
He holds masters and doctorate degrees in engineering and management from Wayne State University and the Massachusetts Institute of Technology.
Deputy Chief Economist/Head of Research and Social Data Science, Financial Conduct Authority, UK
There will be many other speakers from credit scoring consultancies, banks and other financial institutions, and universities.