Associate Manager, IFRS9 and ECL Analytics

Associate Manager, IFRS9 and ECL Analytics

  • Anywhere

Company Name:-
Standard Chartered

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Job: Risk
Primary Location: Asia-India-Bangalore
Schedule: Full-time
Employee Status: Permanent
Posting Date: 24/Jun/2021, 11:55:10 PM
Unposting Date: Ongoing

About Standard Chartered
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
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 / 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.

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.

.

.

)
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 quantitativ

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