This is an environment where youll work alongside brilliant quantitative minds, solving real-world credit and regulatory challenges for high-profile clients. Expect complex model development projects, deep analytical problem-solving, and opportunities to make your mark in a technically advanced, high-performing team. Key Responsibilities: Develop, calibrate, and validate credit risk and impairment models aligned with IFRS 9 and Basel frameworks. Conduct benchmarking and portfolio analytics to provide actionable insights across industries. Review, refine, and communicate findings and deliverables to clients and senior stakeholders. Contribute to technical reports, presentations, and strategy discussions within the risk team. Job Experience and Skills Required: A Degree in Statistics, Mathematics, Financial Engineering, Actuarial Science, Economics, or a related quantitative field. 35 years experience within banking, consulting, or financial services. Proven experience with credit risk modelling, predictive analytics, and model validation. Strong understanding of IFRS 9, Basel, and model risk management principles. Advanced Excel and proficiency in SAS, R, or Python. Excellent report writing and stakeholder communication skills. Ability to manage multiple projects under tight deadlines. Must have hands-on experience in credit modelling and exposure to regulatory frameworks. Comfortable working in a hybrid consulting environment with direct client interaction. Apply now!