Risk Modeler - BFS

Desired Competencies (Technical/Behavioral Competency):

Must-Have :

- 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

Responsibility of / Expectations from the Role :

- 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

- Experience of building and maintaining stakeholder relationships