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Job Location | Mumbai City |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Recruitment Services |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Our client is a fastest growing leading international investment Bank. Due to continuous growth in the region, they are expanding their Mumbai team. Hence, they are looking to hire an individual who oversees the development of credit risk models who brings 3 to 8 years of experience working in international banks.Some of the key responsibilities will include:- Responsible for developing, maintaining, and documenting the models used for credit risk- Establish continuous communication with significant business partners such as front office, credit risk management, validation as well as auditors and regulators- Researching, developing, prototyping, and implementing new modelling, calculation, and reporting approaches in a continuous improvement cycle.- Working on implementing new model methodologies in credit risk platforms including IT and Liaising.- We also provide opportunities to participate in the development of credit risk PD/LGD/CCF models and stress testing. To be eligible for this role you will require:- Qualified degree in quantitative finance OR statistics OR mathematics or econometrics - Working experience in at least some of the following areas (AIRB - LGD, PD and CCF Modelling, Regulatory framework, and rules (e.g., BASEL, CCAR etc.), Credit Portfolio Modelling - Default and Migration Risk, Risk Scenarios and Stress Testing, and Back-Testing.- Hands-on experience in at least one of the Programming languages - R, SAS, Python VBA / advanced Excel, etc. Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.,
Keyskills :
credit risk managementcredit riskrisk modelsfront officeadvanced excelstress testingrisk managementworking experiencequantitative financeprogramming languages