Assistant Manager - Risk Management - BFSI

- Develop credit risk IRB, Basel,IFRS9 and Pillar 2 Stress Testing models for the measurement of PD, EAD and LGD for the Corporate, Institutional, and Commercial book

- Continuously improve the models- performance and research on the latest modelling methodology and best industry practices, while meeting all regulatory and data constraints.

- Work on the end-to-end model development (PD, EAD, LGD) cycle, from data gathering and cleansing to the documentation and presentations to key stakeholders

- Maintain and continue to upgrade the models based on model users and regulatory feedback and on-going model performance monitoring.

- Ensure the model outputs are fit for purposes not only for regulatory capital and ECL estimates but also for daily business usage, underwriting decisions, risk appetite decisions and strategy design.

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

- Ensure the modeling 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.

- 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

Action Oriented :

- Taking on new opportunities and tough challenges with a sense of urgency, energy and enthusiasm.

Collaborates :

- Building partnerships and working collaboratively with others to meet shared objectives.

Courage :

- Stepping up to address difficult issues and saying what needs to be said.

Customer Focus :

- Building strong customer relationships and delivering customer-centric solutions.

Instils Trust :

- Gaining the confidence and trust of others through honesty, integrity and authenticity.

Nimble Learning :

- Actively learning through experimentation when tackling new problems. Using both successes and failures as a learning factor

- Statistics

- Proficiency in SAS/R/Python or another statistical package

- Good knowledge of SQL

- Analytical

- Machine learning techniques

- Knowledge of Basel/CRR/EBA and IFRS 9 regulations

- Strong degree (preferably postgraduate) in a quantitative discipline (e.g. Mathematics, Economics, Statistics, Computer science, Financial Engineering, Engineering) with a clear ability for analysing data and developing statistical predictive models

- Analytical and independent thinker with strong written and verbal communication skills

- Knowledge of banking risk management and Basel/CRR/EBA/IFRS 9 would be a plus.