Assistant Manager: Credit Risk

Network Recruitment; Midrand; Presencial; ZAR 600 000 - 900 000; Tempo integral

Resumo da oferta

Network Recruitment is seeking a Credit Risk Modelling Analyst to develop, validate and calibrate risk models and scorecards in a client-focused, project-driven environment.

You will perform portfolio analytics, benchmarking and contribute to IFRS 9 impairment and regulatory risk initiatives, while communicating findings to stakeholders and collaborating across teams.

Qualificações

• Bachelor’s or undergraduate degree in a quantitative field such as Statistics, Mathematics, Econometrics or related.
• Strong background in credit risk modelling and predictive analytics is required.
• Experience with IFRS 9, Basel frameworks, PD/LGD/EAD methodologies and risk projects is preferred.

Responsabilidades

• 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 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 and support project delivery.

Conhecimentos

Analytical problem solving

Advanced Excel

Python

SAS

R

Report writing

Stakeholder engagement

Communication

Formação académica

Undergraduate degree in Statistics, Mathematics, Actuarial Science, Financial Engineering, Economics, Econometrics, Engineering or related quantitative field

Ferramentas

Python

SAS

R

Descrição da oferta de emprego

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.