CREDIT RISK CONSULTING MANAGER | EDIN or GLA | PERM A UK consultancy firm are looking to grow their risk modelling team with a priority need on those experienced in credit risk modelling in terms of model building, development and validation. I am looking for experience in IFRS9, IRB, credit risk models and preferably some regulatory experience as well. In addition to having technical skills, you should have important soft skills to build rapport with clients, new and current. As the team grows, there will be managerial experience opportunities. I would like to hear from those with managerial experience and without if keen to do this one day. THE TEAM The team advise leading banking groups on a wide variety of risk, value and capital management issues. These include: Credit risk modelling including IRB modelling IFRS9 provision modelling Credit risk stress testing Model validation and assurance Model governance and review THE ROLE Although the team in Edinburgh consists of several consultants, it will involve working with the existing team of approximately 60 banking model specialists to build on a current portfolio of projects in credit risk modelling and validation and increase their capacity and offering in the area of credit risk stress testing. This will include: Advice and support in relation to IRB capital models; providing model build services, performing CRR (capital requirements regulation) attestations and advising clients as they develop IRB capital models for the impending regulatory changes. Support to Model Validation teams; carrying out full range of validation activities including assessment of conceptual soundness, challenging underlying assumptions, validating data and assessing limitations of the models. Performing a specialist review and validation of IFRs 9 credit risk models across a number of audits for banking clients in the UK. Providing advice to banks relating to future generations of IFRS 9 models and IFRS 9 forecasting. Advising clients on credit risk stress testing model approaches. Interaction with stakeholders including credit risk managers, model development teams, and internal stakeholders. Helping to develop internal IFRS 9 and IRB banking propositions to take to market Maintaining an up-to-date view of regulatory and industry developments in relation to credit risk regulatory capital modelling, IFRS 9 modelling and stress testing credit risk modelling, sharing this with the wider team and maintaining leading edge best practice in work performed. Essential skills and experience: Strong general knowledge of credit risk concepts. Experience in credit risk and modelling across Retail or Wholesale portfolios Exceptional communication skills, with particular emphasis on communicating technical complexity to both technical and non-technical audiences. Strong people management and client relationship skills including inter-personal sensitivity, influencing and negotiation skills. Ability to develop good client/internal client handling skills, including relationship-building skills that lead to increased consulting opportunities. Creativity and problem-solving skills in individual, team and collaborative consultant-client settings. Strong commitment to both personal and team success. Openness and willingness to share ideas and knowledge. Willingness to travel to client sites and other UK office locations. Desirable skills/ attributes: Knowledge of at least one of the following (or similar): SAS, SQL, R, Python Experience across scorecard PD modelling and IRB TTC (through-the-cycle) calibration techniques. Experience in LGD IRB modelling across secured and unsecured portfolios, and in downturn LGD calibration techniques. Experience in writing model documentation at standards required for regulatory submission. Familiar with the CRR (capital requirements regulation) and the impending regulatory updates across the PRA, EBA and Basel Committee. In particular, knowledge of the Definition of Default and Hybrid PD regulatory updates. First class degree (or equivalent) in technical subject plus further qualification (such as MSc, PhD or professional qualification in relevant subject/area, e.g., mathematical finance or technical research involving maths or numerical programming) - Desirable To find out more information and apply please contact Craig McKellar