Senior Risk Associate Quantitative Analysis

Business & Private Banking Risk Management (BPB RM) forms part of the Group Risk Management division, and specifically, it provides the Business & Private Banking (BPB) team with specialist risk services and advice. BPB is one of the client facing business groups within the Bank, and provides support to Corporate, Regional and Agricultural, Business, Private and CommSec clients.

This role is accountable to providing quantitative support for BPB and IB&M. In particular this role will assist in the development and implementation of analytical tools to be used for monitoring of credit risk factors capital and provisioning models, as well as for scenario analysis/stress testing.

Key Responsibilities

• The primary work of the role is to undertake analysis and reporting of credit portfolio data for Risk management and business unit stakeholders including, but not limited to:
• Analyze the performance of existing credit risk models and provide input on their strengths, weaknesses, and applicability to relevant portfolio types and ability to be improved;
• Assist and contribute to the development, documentation and maintenance of credit risk models and tools used to discriminate credit risk for corporate credit portfolios;
• Assist in migrating tools and analytic processes towards accepted best practice;
• Show initiative in identifying opportunities for improvement;
• Able to effectively manage tasks to ensure obligations and initiatives are completed successfully and within constraints;
• Undertaking ad hoc analysis, projects and tasks as required;
• Understand the importance of and be aware of operational risks. Contribute to the management of such risks;
• Adhere to the Code of Conduct. The Code of Conduct sets the standards of behaviour, actions and decisions we expect from our people.

Skills and Experience

• Risk Mindset –All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks.
• 3+ years of practical experience with quantitative modelling or data analytics. Knowledge of credit risk models, in particular across risk rated credit portfolios, is desired.
• Demonstrated ability with modelling or analytics tools, such as R and SQL, and optionally SAS.
• Ability to plan and work through complex data sets in a diligent manner, with an ability to work and deliver against deadlines under pressure
• Strong communication skills and not afraid to voice your opinion or views
• Quantitatively focused tertiary qualifications, such as maths, engineering, statistics, actuarial studies, etc.

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Applications close: 14 Nov 2019 AUS Eastern Daylight Time

For further information, and to apply, please visit our website via the “Apply” button below.