You are passionate, motivated and display a positive attitudeWe are a values-driven and a high performing teamTogether we can deliver an exemplary experience for our stakeholders and the GroupDo work that mattersRisk Management is responsible for developing and deploying the risk frameworks to allow the Group to take conscious exposures to credit, market, operational, compliance and insurance risks within a Board-approved appetite.See yourself our teamAs part of the Credit Risk Validation team, we are interacting on a day-to-day basis with other teams that are involved in the credit modelling lifecycle across the Group. This includes the model development unit and business unit Risk teams that conduct model monitoring and fit-for-purpose validations, as well as develop their own models covering provisioning, stress testing and scorecards.In this roleYou will be performing independent validation activities for models and quantitative tools developed for IRB, IFRS9 and stress testing. This includes internal models under APS 113 and models used for provisioning. You will also be thoroughly documenting the validation report, and appropriately challenging the modelling results and the thought process around the choice of modelling methodology, to enable stakeholders to understand the strength and weakness of the final model and assess its impact.Other responsibilities will includeEnsuring the models follow sound methodologies and advanced statistical techniques including, but not limited to, various regression techniques, time series analysis and macroeconomic modelling, using Python, R, and SQLRepresenting Model Risk & Validation team at project advisory groups and coordinate with other leaders in the model risk & validation teamEffectively presenting the results of validation work and business implications to internal working groups and technical forumsProactively addressing and responding in a timely manner to developer, audit and regulatory queries and/or issues pertaining to modelsMaintaining sound relationship with various stakeholdersEvaluating model implementation challenges, including assessment of the business impact of new or updated models on risk measures or processesMaintaining the Group Model RegisterReviewing the Fit-for-purpose validationWe're interested in hearing from you if you haveEstablished Model development or validation experienceCredit risk modelling experience is preferred but not essentialStrong programming skills in R, Python and SQL, and manipulation of large and complex datasetsA solid foundation in applying advanced mathematical and statistical techniques is essentialSolid time management and prioritisation skills; and ability to work under guidance.Experience with the Basel regulatory standards and relevant APRA regulations regarding credit risk is advantageousDemonstrated skills in written and verbal communication, including ability to interpret and report complex material and make sound recommendations to a range of stakeholdersTertiary qualifications, with above average academic achievements, in a quantitative discipline such as mathematics, statistics, econometrics, actuarial science, engineering and data scienceWorking with usWe support our people with the flexibility to balance where work is done with at least half your time each month connecting in our Sydney or Melbourne office.We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few.Talk to us about how these arrangements might work for you.If this sounds like you then apply today!If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 11/10/2024
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