Model Risk Specialist

Financial Organisation; Stellenbosch; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading financial institution seeks a Model Risk Manager to manage model risk by conducting technical reviews and validations of diverse models. This role requires collaboration across teams and expertise in Python, machine learning, and model governance. Ideal candidates will have a degree in a quantitative field and substantial experience in financial modeling.

Qualifications

• 3+ years modeling experience in financial institutions.
• Practical experience in end-to-end model development.
• Model review and validation experience required.

Responsibilities

• Conduct technical reviews and validations of various models.
• Support improved model governance.
• Collaborate with stakeholders across data science, credit risk, and finance teams.

Skills

Python

R

SQL

Excel

Education

Degree in Data Science, Mathematics, Statistics, or Actuarial

Tools

TensorFlow

PyTorch

Job description

About the Role: Exciting opportunity to play a key role in managing model risk across a financial institution by conducting technical reviews and validations of a wide range of models, including machine learning models, financial models, and predictive credit risk models. Your expertise in Credit and Machine Learning will support improved model governance, ensuring all models align with regulatory requirements, internal standards, and best practices. In addition to your technical work, you will collaborate closely with stakeholders across data science, credit risk, and finance teams, effectively communicating complex modelling concepts and driving solutions.

Responsibilities:

• Conduct technical reviews and validations of various models.
• Support improved model governance.
• Ensure models align with regulatory requirements and internal standards.
• Collaborate with stakeholders across data science, credit risk, and finance teams.
• Communicate complex modelling concepts effectively.
• Drive solutions for model risk management.

Qualifications:

• 3+ years modeling experience within financial institutions.
• Degree in Data Science, Mathematics, Statistics, or Actuarial.
• Practical experience in end-to-end model development is a requirement.
• Model review and validation experience.
• Python/R experience and relation/Non-relational databases.
• Familiarity with modern deep learning frameworks (Pytorch, Tensorflow).

Required Skills:

• Hands-on experience in end-to-end model development.
• Strong skills in Python, R, SQL, and Excel.
• Familiarity with machine learning tools such as TensorFlow or PyTorch.

Preferred Skills:

• The credit lifecycle.
• AWS technologies.
• Banking products experience.