Midrand: Credit Risk Modelling Specialist

Join a leading global professional services environment known for delivering high‑impact advisory solutions to clients in financial services and beyond. You will be part of a division that specialises in regulatory and financial risk, credit model development, economic capital, IFRS 9, model validation, analytics, and strategy formulation. This role offers exceptional career progression, continuous technical upskilling, mentorship from industry experts, and exposure to a wide variety of complex modelling engagements. The team embraces hybrid working, diversity, innovation, and a culture of excellencemaking it an ideal home for ambitious quantitative professionals. Whats in it for you? Access to high‑profile projects, cutting‑edge modelling techniques, exceptional learning opportunities, and the ability to shape how clients approach credit risk and financial regulation. Key Responsibilities: Develop, calibrate, and implement credit risk models including IFRS 9, scorecards, regulatory capital, and behavioural models. Conduct model validation, performance monitoring, and benchmarking against industry metrics. Derive portfolio credit analytics and prepare high‑quality reports and client deliverables. Communicate modelling insights, challenges, and outcomes with clients and internal teams. Assist in drafting technical reports, presentations, and documentation for review. Share knowledge, provide guidance to junior team members, and contribute to continuous improvement. Job Experience and Skills Required: Education: Undergraduate degree in Statistics, Mathematics, Financial Engineering, Actuarial Science, Engineering, Economics, Econometrics, or related quantitative field. Experience: 35 years experience in banking, financial services consulting, or a quantitative modelling environment. Solid understanding of credit risk modelling, predictive analytics, and model lifecycle processes. Exposure to IFRS 9, Basel regulations, model risk management, or credit lifecycle processes. Skills: Strong proficiency in MS Word, Excel, and PowerPoint. Coding skills in SAS, R, Python and/or SQL. Excellent report-writing capability and ability to present complex concepts clearly. Strong stakeholder management, communication, and problem‑solving abilities. Ability to manage multiple projects, adapt to change, and work effectively under pressure. Other Non‑Negotiables: Passion for quantitative modelling and a commitment to technical excellence. Strong business acumen and analytical mindset. Ability to work with multidisciplinary teams. Apply now! For more exciting Finance vacancies, please visit: