Wholesale Risk Modeling Role - BFS

Wholesale Risk Modeling

The Role Responsibilities :

Strategy

- Develop credit risk IRB, IFRS9 and Pillar 2 Stress Testing models for the measurement of PD, EAD and LGD for the wholesale portfolio.

- Support continuous improvement efforts through research on techniques, process and domain.

- Execute end to end model development steps. The responsibility will also include efforts on data preparation, documentation, presentation and maintaining minutes of key decisions made during the development lifecycle.

- Adopting best coding standards and automation to help create coding repositories for various methods used across modelling team.

Business

- Ensure that models are fit for purposes not only for regulatory estimates but also for daily business usage, underwriting decisions, risk appetite decisions and strategy design.

Processes

- Participate in relevant model implementation and its user acceptance test to ensure models are appropriately implemented not only within the direct system environment but also its relevant downstream environments.

People and Talent

- Lead through example and demonstrate the bank's culture and values.

Risk Management

- Understand Model related uncertainty risk such as data, regulatory, business strategy, that have a direct impact on the model's performance.

Governance

- Ensure the modelling process and models meet the Model Risk Policy and Model Family Standards.

- Provide timely and high-quality responses to both internal and external queries and requests.

Regulatory & Business Conduct

- Display exemplary conduct and live by the Group's Values and Code of Conduct.

- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

- Be compliant to home and host regulatory requirements on modelling

Key Stakeholders

- Group Model Validation, Model Sponsors and Owners, Model Risk Management

Our Ideal Candidate

- Master's Degree in Quantitative Discipline (e.g. Mathematics, Statistics, Economics, Financial Engineering, Engineering)

- Knowledge of Regulatory and Risk management (e.g. Basel, IFRS9, Stress Testing, ECL etc.) Experience of working in Wholesale Lending Risk Analytics will be an advantage.

- Software Skills: SAS, Python, R

- Strong communication skills