Senior Model Development Lead – IFRS9 & Basel

Network Finance; Randburg; On-site; ZAR 700,000 - 900,000; Full time

Job summary

Network Finance in Randburg is seeking a highly skilled individual to lead the development and implementation of IFRS9 and Basel credit risk models. The role involves stakeholder engagement, presenting insights to senior stakeholders, and ensuring compliance with regulatory standards.

Required qualifications include an Honours degree in a quantitative field and a minimum of 5 years’ experience in quantitative or credit risk modelling. The ideal candidate will have strong analytical skills and the ability to manage multiple priorities.

Qualifications

• Minimum 5 years’ experience within a quantitative or credit risk modelling environment.
• Proven experience in IFRS9 and/or Basel regulatory modelling.
• Experience operating at a senior specialist or management level.

Responsibilities

• Lead the development, enhancement, and implementation of IFRS9 and Basel credit risk models.
• Engage with stakeholders to translate business requirements into analytical solutions.
• Present modelling results, insights, and recommendations to senior stakeholders.
• Ensure compliance with Model Risk Management frameworks and regulatory standards.
• Support model validation processes and manage submissions to validation teams.
• Drive continuous improvement by enhancing methodologies and staying ahead of industry trends.

Skills

Strong analytical and problem‑solving ability

Advanced stakeholder engagement and communication skills

Proficiency in SAS

Education

Honours Degree in a quantitative field

Job description

Network Finance in Randburg is seeking a highly skilled individual to lead the development and implementation of IFRS9 and Basel credit risk models. The role involves stakeholder engagement, presenting insights to senior stakeholders, and ensuring compliance with regulatory standards.

Required qualifications include an Honours degree in a quantitative field and a minimum of 5 years’ experience in quantitative or credit risk modelling. The ideal candidate will have strong analytical skills and the ability to manage multiple priorities.