Credit Risk Manager

SUMMARY:
Are you a quantitative risk professional looking to take the next step in your career? This exciting opportunity offers exposure to advanced credit risk modelling, regulatory capital frameworks, and IFRS 9 analytics within a leading financial risk advisory environment. Join a high-performing team working with some of the most sophisticated credit risk models in the financial services industry.

POSITION INFO:
Our client, a leading advisory firm within the financial services sector, is seeking a Credit Risk Manager to join their Financial Risk Management team. The successful candidate will play a key role in the development, validation, and review of credit risk models used for provisioning, regulatory capital calculations, and risk management purposes. This position offers the opportunity to work across a diverse client base, ranging from specialist lenders to large financial institutions, while gaining exposure to cutting-edge modelling methodologies and technologies. In addition to providing technical expertise, the successful candidate will assist with project delivery, stakeholder engagement, and the coaching of junior team members. Key Responsibilities: Develop, review, and validate credit risk models for IFRS 9 and regulatory capital purposes Perform quantitative analysis and model assessments across credit risk portfolios Support project planning, execution, budgeting, and delivery activities Assist with the automation and enhancement of financial risk management models Work with large datasets to develop meaningful risk insights and recommendations Prepare technical reports and present findings to stakeholders Ensure adherence to regulatory and industry best practices Contribute to the development of innovative modelling solutions and methodologies Mentor and coach junior team members Collaborate with internal and external stakeholders on credit risk engagements Job Experience and Skills Required: Education Honours or Master's Degree in Quantitative Finance, Mathematics, Statistics, Actuarial Science, Engineering, or a related quantitative discipline FRM or equivalent professional qualification advantageous Experience Minimum 6 years' experience within Credit Risk Modelling, Credit Analytics, or Financial Risk Management Strong experience with IFRS 9 modelling, scorecards, PD, LGD, EAD, or regulatory capital models Experience managing projects, workstreams, or client engagements Exposure to banking, lending, or financial services environments Skills Strong knowledge of credit risk modelling methodologies and statistical techniques Proficiency in Python, SAS, R, or other quantitative programming languages Excellent analytical and problem-solving capabilities Strong stakeholder engagement and communication skills Experience coaching and mentoring junior team members Ability to manage multiple priorities within a fast-paced environment Strong report-writing and presentation skills Apply now! 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 Connect with me on LinkedIn: