Senior Manager, Retail Credit Risk Modelling – Hybrid

Senior Manager, Retail Credit Risk Modelling – Hybrid

Full-Time 81000 - 99000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the development of retail scorecard models for lending decisions.
  • Company: Join Macquarie Group, a leader in financial services with a collaborative culture.
  • Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
  • Other info: Dynamic role with opportunities to collaborate and innovate in financial services.
  • Why this job: Make a real impact by driving modelling outcomes and ensuring regulatory compliance.
  • Qualifications: 7+ years in quantitative modelling and strong statistics knowledge required.

The predicted salary is between 81000 - 99000 $ per year.

Macquarie Group is seeking a senior quant modeller to lead the development of retail scorecard models for lending decisions.

You will ensure regulatory compliance and drive end-to-end modelling outcomes while collaborating with stakeholders to translate complex ideas into practical insights.

The role requires 7+ years in quantitative modelling within financial services, strong statistics knowledge, and a degree in maths, statistics, engineering or actuarial science.

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Senior Manager, Retail Credit Risk Modelling – Hybrid employer: Macquarie Group

Macquarie Group is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to drive meaningful change through data-driven insights. With a strong focus on professional development, the Global Reward Advisory team offers ample opportunities for growth and learning, all while being part of a dynamic global network that values diverse perspectives and encourages impactful contributions.

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Contact Details:

Macquarie Group Recruitment Team

We think you need these skills to ace Senior Manager, Retail Credit Risk Modelling – Hybrid

Quantitative Modelling
Retail Scorecard Development
Regulatory Compliance
Statistics Knowledge
Stakeholder Collaboration
Data Interpretation
Mathematics