Credit Risk Modeler

Job description

**Role & responsibilities** *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* **Preferred candidate profile** - *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* *Experience of building and maintaining stakeholder relationships*