Credit Risk Senior Consultant

SUMMARY:
You’ll join a specialist financial risk management team focused on the development, review, and validation of sophisticated statistical models used to quantify credit risk. Working alongside experienced analysts and modellers from diverse quantitative backgrounds, you’ll gain exposure to a broad range of clients—from local credit providers to globally regulated institutions.

POSITION INFO:

Support the development, review, and validation of credit risk models used for regulatory capital and provisioning purposes
Work on quantitative models including IFRS 9 models, scorecards, and capital models across various portfolios
Perform data analysis, statistical testing, and model performance assessments to support model development and review outcomes
Assist in the coding, automation, and enhancement of credit risk and capital models
Apply contemporary statistical and modelling techniques to solve complex credit risk problems
Prepare technical documentation, model reports, and analytical notes for internal review and external stakeholders
Translate complex quantitative concepts into clear, understandable insights for both technical and non-technical audiences
Collaborate with senior team members to deliver high-quality outputs within agreed timelines
Contribute to client-facing engagements, including responding to information requests and participating in discussions
Stay up to date with regulatory developments, industry trends, and emerging best practices in credit risk and capital management
Support knowledge sharing and contribute to team learning and development initiatives
Manage multiple tasks simultaneously while maintaining a high level of accuracy, resilience, and attention to detail

Skills & Experience:
Honours or Master’s degree in a quantitative discipline (e.g. Quantitative Finance, Mathematics, Statistics, Engineering, or similar)
Professional certification such as FRM or PRM (completed or in progress) is advantageous
Experience
Minimum 4+ years’ experience in a quantitative risk, credit risk, or capital modelling role
Hands-on experience with credit risk models (e.g. IFRS 9, scorecards, capital models)
Exposure to regulatory and provisioning frameworks within a banking or professional services environment
Experience using analytical or programming tools such as Python, R, or SAS
Background in delivering client-driven or stakeholder-focused work under regulatory or operational deadlines

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For more information, contact:
Bianca Langenhoven
Recruitment Consultant

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