1) B.Tech/B.E. - Any Specialization, B.Sc - Any Specialization.
2) Candidate must have minimum 2 lifecycle implementation on Credit Risk using SAS CRMS or RRM solution in either PSU /Private bank.
3) Minimum 5-7 yrs of experience on SAS DDS-Detail Data Store.
4) Thorough understanding of RWA computation and CRAR capital computation concepts.
5) Candidate should be good on SAS DI and able to understand full load, incremental load using SCD type 2.
6) Good and thorough understanding of Standardised Approach Solution on SAS CRMS or RRM-Regulatory Risk Management any version.
1) Knowledge of SAS DI.
2) Technical skills regarding Credit risk.
3) Interpersonal skills.
1) Lead consultant teams to a solution, scope and deliver on-client assignment in global settings.
2) Develop and implement policies and procedures that reduce credit risk for a financial institution.
3) Manages the building of financial models that predict credit risk exposure to the organization.
1) Work Autonomy.
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