Technology & Machine Capabilities to Support Risk Assessment - SYDNEY

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 events@rmaaustralia.org

PwC, Level 15, One International Towers Sydney, Watermans Quay Barangaroo NSW 2000

Wed 26 June 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.

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Speaker: Edmund Stokes, Senior Manager, Pricewaterhouse Coopers

Further Information

About the Speaker:-

Edmund Stokes

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

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