Associate Manager - Retail Risk Modeling - Bank

We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.

To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.

We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.

The Role Responsibilities & Our Ideal Candidate

This position is for an Associate 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 models (IRB, IFRS9, Custom Scorecards and others) 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 Regulatory and Scoring models and providing analytic support to businesses across the globe.

Qualifications:

- 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)

- 1-4 in-depth years' experience in hands-on Statistical Modeling in credit risk 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

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

Competencies:

- Analytical / Strategic / Conceptual thinking

- Attention to detail

- Problem solving

- Verbal/Written communication

- Presentation skills

- Highly motivated, organized and methodical