The conference programme for 2023 will include included keynote speeches, presentations, and opportunities to network with sponsors, exhibitors, and other delegates.

Time Details
Tuesday 29 August 2023
15:30–19:00 Early delegate registration
17:30–19:00 Pre-conference workshops
Wednesday 30 August 2023
09:30–10:30 Registration/refreshments
10:30–10:45 Opening ceremony
10:45–11:40 Plenary session 1
11:50–12:25 Parallel session 1
12:30–13:05 Parallel session 2
13:05–14:15 Lunch
14:15–14:50 Parallel session 3
14:55–15:30 Parallel session 4
15:30–15:50 Refreshments
15:50–16:25 Parallel session 5
16:30–17:05 Parallel session 6
18:30–20:00 Welcome reception
Thursday 31 August 2023
06:45–07:30 Optional - 5K guided early morning run
08:45–09:30 Plenary session 2
09:40–10:15 Parallel session 7
10:20–10:55 Parallel session 8
10:55–11:15 Refreshments
11:15–11:50 Parallel session 9
11:55–12:30 Parallel session 10
12:35–13:10 Parallel session 11
13:10–14:15 Lunch
14:15–15:00 Parallel session or panel session
15:10–15:45 Parallel session 12
15:45–16:05 Refreshments
16:05–16:40 Parallel session 13
16:45–17:20 Parallel session 14
19:00–23:00 Gala dinner
Friday 1 September 2023
09:15–10:00 Parallel session or panel session
10:05–10:40 Parallel session 15
10:45–11:20 Parallel session 16
11:20–11:40 Refreshments
11:40–12:15 Parallel session 17
12:20–12:55 Parallel session 18
12:55–14:00 Lunch
14:00–14:35 Parallel session 19
14:40–15:15 Parallel session 20
15:20–15:55 Parallel session 21
16:00–16:15 Closing session

Please note the conference programme is subject to change and will be finalised in July 2023.

Event app

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.


Keynote speakers

Dr Joseph L. Breeden

CEO, Deep Future Analytics LLC

Dr Breeden has been designing and deploying risk management systems for loan portfolios since 1996. He founded Deep Future Analytics in 2011, which focuses on portfolio and loan-level forecasting solutions for pricing, account management, stress testing, and CECL/IFRS9; serving banks, credit unions, and finance companies.

He is member of the board of directors of Upgrade, a San Francisco-based FinTech; President of the Model Risk Managers’ International Association, and an Associate Editor for the Journal of Credit Risk, the Journal of Risk Model Validation, and the Journal of Risk and Financial Management. He is also the founder of auctionforecast.com, which predicts the values of fine wines using a proprietary database with over 2.5 million auction prices.

Dr Breeden earned a PhD in physics, and has published over 80 academic articles, 8 patents, and 4 books. His upcoming book, Creating Artificial General Intelligence and Preventing the AI Apocalypse, will be published in 2023.

Joseph Breeden

Michaela Pagel

Roderick H. Cushman Associate Professor, Columbia Business School, Finance Division

Michaela received her PhD from the Economics Department at UC Berkeley and works on topics in household finance, behavioural economics, and macroeconomics. She started her career by theoretically analysing the consumption and investment implications of non-standard preferences. More specifically, she studied how decision-making is affected by people's beliefs about their consumption.

She then specialised in working with transaction-level data on household income, spending, balances, credit limits, and logins stemming from financial aggregation apps. Furthermore, she is working with bank account data on income and spending linked to individual investors' security trades and portfolios. She uses this data to study the relationship between spending and income, as well as the determinants of credit card borrowing. She is also interested in stock market participation and the interactions between spending, savings, and individual biases in investment decisions.

Michaela Pagel