Risk Modelers Professional

Model development / validation / audit / review primarily for one or more credit loss forecasting models in either retail or wholesale domain primarily for CECL/CCAR/DFAST reporting including PD/EAD/LGD component models. Validation process involves understanding of development document, testing, and benchmarking using SAS, and report writing. Role description Provide analytical support and manage projects to deliver retail and commercial credit risk and decision models to support risk management and decision making in LBG. The following accountability apply to the most roles and decision science at this level but there may be some variation depending on specific role in the team: Good-to-Have Expertise in PD, LGD, EAD and BAU models Certified CQF and CIF SN Responsibility of / Expectations from the Role 1 Very good knowledge of statistical techniques such as clustering, segmentation, ranking, correlation, or regression etc. Use sophisticated statistical techniques to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools in day-to-day operations. Ability to recognizing information and patterns in data that are not obvious, and focusing analytical efforts in pursuit of explanations, isolations of cause and effect. Accountabilities: Provide analytical support for different types of modelling tasks and projects, including model developments. Work independently on variety of analytical tasks and projects during the production of model monitoring report, validations, and collaborations. Work on projects to support initiative across decision science. Work and build wrap rapport with business contacts, communicating analysis clearly and delivering out to agreed plans and time scales. Take ownership and provides technical leadership to more junior analysts in the team. Support model implementation and testing. Comply with policies and apply best practises to all aspects of work. Deputise for manager when required. Act in line with the groups value and behaviours. Skills, knowledge, and experience Degree with quantitative content or equal skills derived from experience. Experience extracting, manipulating, and drawing insight from the data Experience of working on design, development, and validation of credit risk models excel SAS, SQL, or similar experience demonstrates initiative and problem-solving skills good organisational and project management skills and ability to deliver tasks and project to deadlines good written and verbal communication and presentation skills and ability to build report with the stakeholders to suggest the solution and communicate the impacts good knowledge of the fundamental principles of banking credit Risk management and economics technical leadership and coaching practical application of statistical modelling techniques and technical methods