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.
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