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  • 10 - 13 Years
  • Posted : above 1 month

Job Description:

Leadership pos into Credit Risk Analytics!

Responsibilities

- Conduct portfolio analytics and deep dives as required by country/regional/Group Retail Credit Develop credit strategies across the customer lifecycle of Origination, Portfolio Mgmt and Collections

- Create insights for Retail Risk by studying portfolio trends, performing necessary analytics such as segmentation, profiling, cut-off setting, stress testing, sensitivity analyses

- Timely identification of shifts in portfolio risk profile and re-aligning risk-measurement tools for effectiveness and continuously enhance data-driven credit decisions

- Provide analytical support to various Risk Reviews, perform adhoc analytical requests to support policy changes

- Participate in selective strategic initiatives to build and enhance Groups in-house analytics capabilities; Research on emerging trends in analytics industry

Embed Banks risk management and decisioning framework in day-to-day work, ideate / self-initiate necessary analytics to drive portfolio performance

- Supervise and coach team members for effective project delivery

Competency expected in role

1 Strong logical reasoning ability Ability to perform various industry-standard complex statistical analysis in relation to credit risk problems

2 Ability to work with data organized across platforms and formats (DB2 tables, SAS datamarts, Excel spreadsheets, text files)

3 Ability to blend in existing BAU analytical projects and processes in a seamless manner Ability to bring out meaningful and actionable insights from unstructured data

4 Ability to lead team members across multiple project assignments, while delivering on own projects

Skill Sets required

- Advanced degree (preferably Masters) in a Quantitative Discipline (eg Math, Stat, Eco, Engineering, Finance, MBA)

- 10 years +yearsof relevant work experience, with 3 years experience of managing people / teams

- Cross-functional project management experience is a MUST

- Proficiency in SAS is a MUST with proven experience of working with large, complex data

- Knowledge of other analytical tools such as R, Python, Tableau etc will be a PLUS

- Sound knowledge of Financial Services products, in particular Retail Banking, is a MUST including a good understanding of product economics

- Sound knowledge of Credit Risk is a MUST with ability to perform related data analysis

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 15th Apr 2020

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