
Quantitative Risk Specialist
1 week ago
About the Role
Our Market Risk division is seeking a skilled Analyst to support our Credit Models & Insights team.
As a Quantitative Modeller Analyst, you will leverage statistical and mathematical modelling expertise to develop and implement credit risk models, ensuring their accuracy and reliability. Proficiency in tools like R, SAS, SQL, Python, and Excel is essential.
A postgraduate degree in a quantitative field is preferred, and familiarity with regulatory standards (e.g., IFRS9, Basel, APRA) is beneficial but not required.
Key Responsibilities:
- Design and deploy credit risk models using statistical and mathematical techniques.
- Maintain model integrity through rigorous testing and validation.
- Collaborate with cross-functional teams to integrate models into business processes.
- Stay current with industry developments and regulatory changes.
Requirements:
- Early-career Analyst with experience in credit risk modelling, validation or monitoring.
- Strong foundation in statistical and mathematical modelling.
- Proficient in software like R, SAS, SQL, Python, and Excel.
- Exposure to platforms like PowerBI and Azure DevOps is advantageous.
- Postgraduate degree in a quantitative field is preferred.
We Offer:
- Dynamic work environment fostering collaboration and growth.
- Ongoing training and professional development opportunities.
- Competitive compensation and benefits package.
- Challenging projects and opportunity to make meaningful contributions.
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