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Manager, SCMAC, ERA

3.00 to 7.00 Years   Mumbai City   29 Nov, 2021
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Operations Management
EmploymentTypeFull-time

Job Description

This position is for a 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 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 Standard Chartered 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 Standard Chartered 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.
Our Ideal CandidateCompetencies:
  • 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
Qualifications:
  • Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other 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 7 years of total experience in a retail banking / small business lending analytical function, of which 3-5 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
, This position is for a 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 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 Standard Chartered 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 Standard Chartered 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.
Our Ideal CandidateCompetencies:
  • 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
Qualifications:
  • Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other 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 7 years of total experience in a retail banking / small business lending analytical function, of which 3-5 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
,

Keyskills :
small business lendingcredit riskrisk modelsmusic makingretail bankingrisk analyticssmall businesssas programmingconsumer financeanalytical skills

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