Senior Credit Risk Model Governance Analyst (SAS)

BeathChapman Pte Ltd; Sydney; On-site; AUD 100,000 - 120,000; Full time

Job summary

BeathChapman Pte Ltd seeks a Senior Analyst in Model Governance for Credit Risk. You will help establish a robust governance framework, monitor models, and collaborate with cross-functional teams to ensure data accuracy and regulatory compliance.

You will work with SAS, SQL, R, and Tableau to enhance monitoring, data flows, and risk reporting. A strong quantitative background and stakeholder skills are essential for success.

Qualifications

• 3+ years experience in credit risk analytics/management.
• Understanding of data management and model governance for credit risk.
• Ability to collaborate with risk, data, and regulatory teams.
• Strong communication and stakeholder management skills.
• Tertiary qualifications in quantitative fields or equivalent experience.

Responsibilities

• Manage ongoing monitoring of credit risk models for retail and non-retail portfolios.
• Engage modellers, product risk managers, data and system teams, and regulators.
• Ensure data supports APRA requirements and data governance framework.
• Advance model monitoring using Bitbucket and Tableau.
• Coordinate data transitions from warehouse to discovery and production environments.
• Track risk issues and propose remediation for model performance.
• Deliver data requests and analyses for APRA IRB validation.

Skills

Credit risk analytics

Stakeholder management

Communication

Initiative

Education

Quantitative/Actuarial/Statistics degree or equivalent

Tools

SAS programming

SQL

R

Excel with VBA

Word

PowerPoint

Bitbucket

Tableau

Job description

BeathChapman Pte Ltd seeks a Senior Analyst in Model Governance for Credit Risk. You will help establish a robust governance framework, monitor models, and collaborate with cross-functional teams to ensure data accuracy and regulatory compliance.

You will work with SAS, SQL, R, and Tableau to enhance monitoring, data flows, and risk reporting. A strong quantitative background and stakeholder skills are essential for success.