In-House Credit Risk Stress-Testing Manager in Sydney

In-House Credit Risk Stress-Testing Manager in Sydney

Sydney Full-Time On-site
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At a Glance

  • Tasks: Lead stress-testing model development and analytics for non-retail credit portfolios.
  • Company: Join the Commonwealth Bank of Australia, a leader in financial services.
  • Benefits: Enjoy competitive salary, flexible work options, and career advancement opportunities.
  • Other info: Collaborative culture with a focus on innovation and professional growth.
  • Why this job: Make impactful data-driven decisions in a dynamic banking environment.
  • Qualifications: Experience in analytics with R, Python, SQL, and strong stakeholder engagement skills.

Commonwealth Bank of Australia is seeking a Credit Risk Manager - Stress Testing to help build and embed an in-house stress-testing model monitoring capability for non-retail credit portfolios. You will combine hands-on analytics with stakeholder engagement to enable timely, data-driven decisions.

Using R, Python and SQL, you will turn model-performance data into clear insights; contribute to monitoring deployment and ongoing validation, collaborating with Risk Management and other teams.

In-House Credit Risk Stress-Testing Manager in Sydney employer: Commonwealth Bank Of Australia

Commonwealth Bank of Australia is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Staff Software Engineer in Payments Technology, you'll have the opportunity to lead cutting-edge projects while benefiting from professional growth initiatives and a commitment to employee well-being. Located in a vibrant city, the bank provides a supportive environment where your contributions directly impact the future of financial technology.

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Contact Details:

Commonwealth Bank Of Australia Recruitment Team

We think you need these skills to ace In-House Credit Risk Stress-Testing Manager in Sydney

Credit Risk Management
Stress Testing
Analytics
Stakeholder Engagement
Data-Driven Decision Making
R
Python