Role & Responsibilities:

This position is for a Manager/Senior Manager with an advanced degree in a quantitative discipline; requires extensive experience in areas of statistics, applied mathematics, SAS programming language applied in the area of IRB, IFRS9 Model Development and Risk scorecards for retail banking / small business lending businesses. The individual will use these skills in the development of IRB / IFRS9/CCAR Models, Credit Risk Scorecard and other risk analytics in retail banking / small business lending portfolios with the support of a dedicated team of Team Leads and Analysts / Senior Analysts. Responsibilities include understanding Group requirements and working with the individual's team in developing statistically derived predictive models, performing decision tree based customer segmentation & profiling analyses, assisting business implementation of sophisticated risk models and providing analytic support to the Businesses across the globe. The individual is expected to deliver as a team timely while ensuring compliance to prevailing / applicable standards / legislation / policies. The individual will also be expected to represent the team for review / approval committees.

People and Talent:

- Lead through example and build the team culture and values in line with the Bank. Set clear expectations from the teams and work in collaboration with all relevant partners.

- Employ, engage and retain high calibre professionals.

- Set and monitor job objectives for team members and provide feedback, develop and reward in line with their performance against those responsibilities and objectives.

Competencies:

- Should be open to getting involved in on-the-ground and data activities

- Analytical / Strategic / Conceptual thinking

- Attention to detail

- Problem solving

- Verbal/Written communication

- Presentation skills

- Highly motivated, organized and methodical

Our Ideal Candidate

Qualifications:

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

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

- Significant experience in a similar role; at least 10 year of total experience in a retail banking / small business lending analytical function, of which 5-8 in-depth years- experience in hands-on quantitative analysis & statistical modeling.

- 3+ years- experience in managing a relevant team is good to have

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

- Hands-on experience in statistical modeling, mining data and understanding data patterns is an absolute necessary to support/mentor the individual's team

- Demonstrated proficiency in Retail Risk Model Development is a must

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

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