Join a specialist credit risk consulting team that partners with leading financial institutions across Africa. In this role, you will support the delivery of complex credit risk engagements, including model development, validation, portfolio analytics, credit monitoring frameworks, and regulatory compliance initiatives. You will work alongside a team of quantitative professionals, actuaries, statisticians, and risk specialists while gaining exposure to some of the industry's most challenging and innovative projects. Key Responsibilities: Develop, calibrate, and enhance credit risk models. Perform model validation, monitoring, and testing. Deliver portfolio analytics and credit risk insights. Support IFRS 9 and Basel-related projects. Benchmark credit risk metrics and portfolio performance. Review client deliverables for quality and accuracy. Prepare reports and present findings to stakeholders. Mentor junior team members and contribute to knowledge sharing. Job Experience and Skills Required: Education: Degree in Statistics, Mathematics, Actuarial Science, Financial Engineering, Economics, Econometrics, Engineering, or a related quantitative field. Experience: 3-5 years' experience within Banking, Financial Services, Credit Risk Consulting, or a related environment. Experience in credit risk model development and validation. Understanding of IFRS 9, Basel regulations, and model risk management principles. Strong knowledge of PD, LGD, EAD, and credit portfolio analytics. Experience working with large datasets and predictive modelling techniques. Coding experience in SAS, R, Python, or similar analytical tools. Skills: Credit Risk Modelling IFRS 9 and Basel Frameworks Statistical Analysis and Predictive Modelling Project Management Report Writing and Presentation Skills Stakeholder Management Problem Solving and Critical Thinking Leadership and Team Development For more exciting Actuarial and Analytics vacancies, please visit: I also specialise in recruiting in the following: Actuarial: Life, Short-Term, Health, Pensions, and Quantitative Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning) Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts Pricing: Specialists in Insurance and Financial Products AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists Quantitative: Experts across Banking, Insurance, and FinTech If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information, contact: Zahrah Gani Specialist Recruitment Consultant