Risk Analytics Engineering Lead in Sydney

Risk Analytics Engineering Lead in Sydney

Sydney Full-Time 117000 - 143000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design and delivery of scalable data products for Retail Credit Risk.
  • Company: Join Commonwealth Bank, a leader in financial services with a focus on innovation.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous learning and development.
  • Why this job: Make a real impact by driving cloud migration and enhancing analytics capabilities.
  • Qualifications: Experience in risk analytics and strong leadership skills required.

The predicted salary is between 117000 - 143000 $ per year.

Commonwealth Bank in Sydney is seeking a hands-on Manager, Risk Analytics Engineering to design and deliver scalable data products and analytics solutions for Retail Credit Risk. You will lead the development of modern data pipelines and automated testing practices while aligning with risk governance.

Working across Risk, Business and Technology, you will drive cloud migration, establish reusable data models, implement CI/CD, and coach teammates to raise analytics engineering capability.

Risk Analytics Engineering Lead in Sydney employer: Commonwealth Bank

Commonwealth Bank is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Staff Data Engineer, you'll have the opportunity to lead cutting-edge projects in a supportive environment that prioritises employee growth and development, with access to ongoing training and mentorship. Located in a vibrant city, the bank provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Commonwealth Bank Recruitment Team

We think you need these skills to ace Risk Analytics Engineering Lead in Sydney

Data Product Design
Analytics Solutions Development
Data Pipeline Development
Automated Testing Practices
Risk Governance Alignment
Cloud Migration
Reusable Data Models