Technology & Machine Capabilities to Support Risk Assessment - BRISBANE
NOTE: Registration for this event has now closed, as the venue is at full capacity. Should you wish to be added to the waitlist, please contact the RMA events team on firstname.lastname@example.org
PwC, Level 23, 480 Queen Street, Brisbane QLD 4000
Wed 28 August 2019 | 4.00pm Presentation followed by Networking Drinks from 5.00pm – 6.00pm
Risk management practices have been scrutinized on a number of fronts over the past few years. For instance, The Royal Commission called out misconduct as a systemic behavioural issue that was causing bankers and brokers to behave in their own best interest (not that of the customer). Additionally ASIC has recently amended the responsible lending guidelines calling out that benchmarks (e.g. HEM) are not solely appropriate for verifying a customer’s expenses.
These call outs from the Royal Commission and the regulator are changing the risk management paradigm; where new techniques and tools need to be explored and considered to create holistic risk management frameworks that adhere to the changing risk ecosystem.
The presentation will discuss how machine learning can be applied practically to some of these new challenges that the industry is currently facing. Three topics will be covered where machine learning can assist a new risk ecosystem, these topics are:
· Enhanced credit decisioning;
· Effective triaging of misconduct;
· Expense classification.
Speaker: Edmund Stokes, Senior Manager, Pricewaterhouse Coopers
About the Speaker:-
Senior Manager - Pricewaterhouse Coopers
Edmund is a Senior Manager with over 10 years of banking experience, specialising in credit risk model development. During his tenure at PwC, Edmund has further developed his knowledge on machine learning algorithms and their practical applications in solving current issues that the industry faces, e.g. conduct models and expense classifications.