Manager - IFRS 9 Model Development - Retail

Job Role : This position is for a Manager with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of risk / credit scoring models and other risk analytics in retail banking / small business lending portfolios. Responsibilities include developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of sophisticated scoring models and providing analytic support to Standard Chartered businesses across the globe.

RESPONSIBILITIES :

- Retail IFRS9 model development

- The ability to build IFRS9 models.

Governance :

- Responsible to follow GMRP, GMRS, MFS

- 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 Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

- Lead to achieve the outcomes set out in the Bank's Conduct Principles

- Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters

Ideal Candidate :

- Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline

- Good understanding of retail banking / small business / consumer finance products and business life cycles (e.g. sales, underwriting, portfolio management, marketing, collections...)

- Experience in quantitative analysis & statistical modeling in credit risk / marketing /portfolio strategy for retail banking / small business / consumer finance portfolios

- Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis

- Hands-on experience in mining data and understanding data patterns

- Demonstrated proficiency in scorecard development is a plus

- Experience in directly interacting with Business and exposure to International markets will be a plus