Are you a Credit Risk Manager with proven experience developing and validating retail credit risk models under IFRS 9 and/or IRB ideally within Tier 1 banks, challenger banks, or consultancies?
Have a deep understanding of PRA and EBA guidelines and Basel regulatory frameworks plus strong programming skills in Python, SAS, and SQL?
Do you live within a commutable distance of Central London and seeking a new Credit Risk Manager opportunity offering a competitive salary, hybrid working and 1st class benefits?
Our client is a leading financial consultancy with a fantastic opportunity for an experienced Credit Risk Manager to join them and lead the development of retail credit risk models under IFRS 9 and IRB frameworks.
This would be a superb move for a highly skilled risk professional to take ownership of end-to-end model development while managing a talented team of Senior Consultants. The successful candidate will report directly to the Partner/Technical Director and play a key role in delivering regulatory-compliant, business-relevant credit risk models to major banking clients and the key responsibilities are summarised below:-
Lead the design, enhancement, and maintenance of retail credit risk models (PD, LGD, and EAD) under IFRS 9 and IRB.
Manage and mentor a team of Senior Consultants to deliver high-quality, robust, and compliant modelling solutions.
Ensure all models meet PRA, EBA, and Basel 3.1 regulatory standards.
Conduct and review statistical analysis, calibration, back-testing, and monitoring to ensure model accuracy and performance.
Provide technical expertise in Python, SAS, and SQL for model development and validation.
Engage confidently with regulators, validation teams, and senior stakeholders, communicating complex results clearly.
Promote innovation by integrating machine learning and advanced analytics into modelling approaches.
Oversee project timelines, resources, and deliverables to meet internal and client expectations.
Contribute to training, mentoring, and capability development across the modelling team.
Maintain full documentation and governance across all model risk management activities.
Our client would be particularly interested in candidates with an MSc or PhD in a quantitative field (e.g. Mathematics, Statistics, Economics, or Finance) who has developed & validated retail credit risk models under IFRS 9 and/or IRB ideally within a banking or consultancy environment, You should also have a solid grasp of statistical techniques such as logistic regression, survival analysis, and machine learning as well as excellent stakeholder management and communication skills. Experience of managing or mentoring analysts or consultants in a modelling environment would also be an advantage as well as 1st class project management and organisational abilities.
This is an excellent opportunity to take on a leadership role within a high-performing consultancy known for technical excellence and strong regulatory relationships. The role offers career progression, diverse project exposure, and flexible working options.
Interested?
Then please forward your CV NOW for further details and consultation