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  • The candidate is expected to work as a part of highly dynamic and focus driven team which is building a Single Strategic Document Management Solution for leading Investment Banks and Financial Institutions. As part of the project, the candidate is expected to undertake a comprehensive review

  • Role & Responsibilities: Business / Department Objectives: The Financial Crimes Fraud Risk team develops & implements strategies that detect & mitigate fraud losses. Cyber Fraud Risk - Big Data team is responsible to lead Big Data initiatives to enhance Cyber Fraud Risk Management solutions for all GCB lines of businesses Core Responsibilities: Conceptualize & execute various Financial Crimes Cyber Fraud Risk ...

  • Background in Computer science, Mathematics, electrical Engineering from Tier 1 Institutes like IIT, BITS Pilani, NIT. Model Risk Management - Validation As a part of Model Risk Management the candidate will get exposure to modeling in a wide variety of risk areas such as credit risk, market risk, Desirable : - Experience in data management and analysis or in Front Office IT would be an advantage. - Good ...

  • Background in Computer science, Mathematics, electrical Engineering from Tier 1 Institutes like IIT, BITS Pilani, NIT. Model Risk Management - Validation As a part of Model Risk Management the candidate will get exposure to modeling in a wide variety of risk areas such as credit risk, market risk, Desirable : - Experience in data management and analysis or in Front Office IT would be an advantage. - Good ...

  • Qualifications1. Exposure to UNIX environment, UNIX Shell Scripting. 2. Working knowledge of MS Excel, PowerPoint and Word. 3. Ability to handle multiple sources of data and huge datasets ( 10 million records). 4. SAS certification would be considered as an added advantage. 5. Exposure to SQL, Linux, VBA

  • Qualifications1. Exposure to UNIX environment, UNIX Shell Scripting. 2. Working knowledge of MS Excel, PowerPoint and Word. 3. Ability to handle multiple sources of data and huge datasets ( 10 million records). 4. SAS certification would be considered as an added advantage. 5. Exposure to SQL, Linux, VBA

  • Qualifications1. Exposure to UNIX environment, UNIX Shell Scripting. 2. Working knowledge of MS Excel, PowerPoint and Word. 3. Ability to handle multiple sources of data and huge datasets ( 10 million records). 4. SAS certification would be considered as an added advantage. 5. Exposure to SQL, Linux, VBA

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • New Acquisition- Current Account & Institutional Accounts To source new CASA accounts from the branch catchment by taking references from the existing customers as well as the leads received from the branch and generated by self. Adhere to the guidelines laid down as per Quality Sourcing Norms

  • or Master in Statistics/ Economics/Mathematics/advanced degree in quant area Should have hands-on work-experience as a Quant Modeler and developed/validated credit risk models (PD/LGD/EAD) for financial institutions, especially for wholesale portfolios. Should have very good domain knowledge of wholesale

  • or Master in Statistics/ Economics/Mathematics/advanced degree in quant area Should have hands-on work-experience as a Quant Modeler and developed/validated credit risk models (PD/LGD/EAD) for financial institutions, especially for wholesale portfolios. Should have very good domain knowledge of wholesale

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