Assistant Manager: Credit Risk

Network Finance; Midrand; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

Network Finance is seeking a quantitative professional to develop and calibrate credit risk models and scorecards in a client-focused environment.

You will validate models, perform portfolio analytics, and contribute to IFRS 9 and regulatory risk projects while delivering clear technical reports to stakeholders. Collaboration across teams and strong communication are essential for success.

Qualifications

• Degree in Statistics/Mathematics/Actuarial Science/Finance or related quantitative field is required.
• 3–5 years in credit risk, banking, financial services, or related analytical environment.
• Strong analytical, problem-solving, and numerical skills; ability to communicate complex findings clearly.

Responsibilities

• Develop, enhance, and calibrate credit risk models and scorecards.
• Perform model validation, monitoring, testing, and performance reviews.
• Conduct portfolio analytics and benchmarking to support strategic decisions.
• Assist with IFRS 9 impairment and regulatory risk projects.
• Prepare technical reports and present findings to stakeholders and clients.
• Collaborate with multidisciplinary teams to deliver client solutions.
• Support project management activities and ensure engagement delivery.

Skills

Credit risk modelling

PD/LGD/EAD

IFRS 9 concepts

Excel advanced

Python

SAS

R

Stakeholder reporting

Analytical thinking

Presentation skills

Education

Undergraduate quantitative degree

Tools

Python

SAS

R

Job description

Key Responsibilities:

• Develop, enhance, and calibrate credit risk models and scorecards.
• Perform model validation, monitoring, testing, and performance reviews.
• Conduct portfolio analytics and benchmarking exercises to support strategic decision-making.
• Assist with IFRS 9 impairment and regulatory risk projects.
• Prepare technical reports and present findings to stakeholders and clients.
• Collaborate with multidisciplinary teams to deliver high-quality client solutions.
• Support project management activities and ensure successful engagement delivery.

Job Experience and Skills Required:

Education:

• Undergraduate Degree in Statistics, Mathematics, Actuarial Science, Financial Engineering, Economics, Econometrics, Engineering, or a related quantitative field.

Experience:

• 3-5 years' experience within Credit Risk, Banking, Financial Services, Consulting, or a related analytical environment.
• Experience in credit risk modelling and predictive analytics.
• Understanding of the credit lifecycle, model risk management, IFRS 9, and Basel frameworks.
• Exposure to PD, LGD, and EAD methodologies.
• Experience working on quantitative or regulatory risk projects.

Skills:

• Strong analytical and quantitative problem-solving capability.
• Advanced Excel skills with proficiency in data analysis and modelling.
• Coding experience using Python, SAS, R, or similar analytical tools.
• Strong report-writing and presentation skills.
• Excellent communication and stakeholder engagement abilities.

Non-Negotiables:

• Strong understanding of credit risk principles and financial modelling.
• Ability to interpret and communicate complex analytical findings.
• Comfortable working in a client-focused and project-driven environment.
• Proven ability to manage multiple priorities and deliver quality outcomes.