Senior Retail Scorecard Modelling Lead

Macquarie Group; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Wellbeing leave day

Parental leave (up to 20 weeks)

Volunteer leave & donation matching

Gender affirmation leave

Employee Assistance Program

Salary packaging options

Learning & development support

Hybrid & flexible working

Work-from-home equipment reimbursement

Job summary

Macquarie Group in Sydney is looking for a senior quantitative modeller to lead the development of retail scorecard models supporting lending strategies. You will drive end-to-end modelling outcomes, collaborate with stakeholders to balance risk and commercial goals, and ensure compliance with regulatory expectations.

The role requires strong statistics background, leadership of small project teams, and clear communication of complex concepts to non-technical audiences.

Qualifications

• 7+ years of experience in quantitative modelling within financial services.
• Proven experience building scorecard models from the ground up.
• Strong knowledge of statistics and quantitative methods; degree in mathematics, statistics, engineering or actuarial science.
• Experience leading small project teams (2–3 people) and mentoring juniors.
• Strong understanding of retail lending products and commercial acumen.
• Strong communication skills to explain complex modelling concepts to non-technical stakeholders.

Responsibilities

• Lead the development of retail scorecard models to support lending decisions.
• Ensure models meet regulatory expectations and strengthen capability.
• Deliver end-to-end modelling outcomes and communicate results to stakeholders.

Skills

Quant modelling

Scorecard models

Statistics

Project leadership

Retail lending

Communication skills

Education

Mathematics/Statistics/Engineering/Actuarial science degree

Job description

Macquarie Group in Sydney is looking for a senior quantitative modeller to lead the development of retail scorecard models supporting lending strategies. You will drive end-to-end modelling outcomes, collaborate with stakeholders to balance risk and commercial goals, and ensure compliance with regulatory expectations.

The role requires strong statistics background, leadership of small project teams, and clear communication of complex concepts to non-technical audiences.