Manager, Credit Model ValidationJust posted!

Bluefin Resources; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive remuneration

Employee benefits

Job summary

Bluefin Resources is seeking a Manager, Credit Model Validation for a leading Australian bank. Two positions available, open to Sydney, Melbourne, Brisbane or Adelaide with a minimum of 2 days in the office.

Join a high-performing Model Risk team to validate retail and corporate credit models, including IRB, provisioning, scorecards and stress testing. You'll own validation assignments, challenge modelling approaches, and present clear findings to senior stakeholders while contributing to

Qualifications

• Minimum 4 years of quantitative analytics experience with credit risk.
• Strong understanding of IRB modelling and provisioning.
• Proven ability to evaluate model performance and validate methodologies.

Responsibilities

• Lead independent reviews of credit risk models across portfolios.
• Assess model performance, methodologies, assumptions, and implementation.
• Analyze IRB models (PD, EAD, LGD) and provisioning, scorecards and stress tests.
• Provide recommendations to strengthen model governance and effectiveness.
• Prepare validation reports and present findings to stakeholders.
• Share knowledge and provide technical guidance within the team.

Skills

Quantitative analytics

Education

Applied Mathematics / related discipline

Tools

R

Python

SAS

Job description

Manager, Credit Model ValidationJust posted!

Exciting Model Risk Manager opportunity with a leading Australian Bank.

• Two positions available
• Open to Sydney, Melbourne, Brisbane or Adelaide
• Attractive remuneration and employee benefits on offer

This is a full-time opportunity that requires a minimum of 2 days per week in the office and has the option be based in Sydney, Melbourne, Brisbane or Adelaide.

The Opportunity

We’re looking for an experienced Model Risk professional to join a high-performing team responsible for providing independent review and assurance across the bank’s credit risk modelling landscape.

You’ll be involved in the assessment of a diverse portfolio of models spanning retail and corporate lending, with particular exposure to IRB frameworks (PD, EAD and LGD), provisioning, scorecards and stress testing.

The role will see you take ownership of validation assignments, examining the robustness of model design, underlying methodologies and implementation. You’ll also have the opportunity to engage with senior stakeholders, provide independent recommendations and contribute to the ongoing development of the bank’s model governance practices.

With significant investment being made across the Model Risk function, this is an opportunity to work on complex, business-critical initiatives while broadening your exposure to evolving regulatory expectations and credit risk frameworks. You’ll also play an important role in sharing knowledge and providing technical support to colleagues.

Key Responsibilities:

• Lead and deliver independent reviews of credit risk models across retail and non-retail portfolios.
• Evaluate model performance, methodologies, assumptions and implementation, identifying potential weaknesses and areas for enhancement.
• Undertake detailed assessments of IRB models, including PD, EAD and LGD, alongside provisioning, scorecard and stress testing models.
• Challenge existing modelling approaches and provide practical recommendations to strengthen model effectiveness and governance.
• Prepare clear, considered validation reports and present findings to relevant stakeholders.
• Provide technical guidance and knowledge sharing within the broader Model Risk team.

Requirements:

• Excellent tertiary qualifications in an Applied Mathematical discipline e.g. Actuarial, Physics, Engineering etc.
• At least 4 years' Quantitative Analytics experience with strong exposure to Credit Risk
• Strong understanding of IRB modelling, provisioning and scorecard methodologies
• Technical proficiencies in R, Python, SAS or equivalent