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Barclays Services Corp. seeks AVP, Quantitative Modeler in Wilmington, DE (multiple positions available): Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting regulatory and impairment model. Utilize Python/SAS and robust modeling conceptual frameworks to perform quantitative model development, including the Probability of Default, Exposure at Default, and Loss Given Default models within unsecured consumer portfolios. Build Impairment Models and support all relevant analytics for the GAP Portfolio. Develop components of the IFRS 9 models (PD, EAD, LGD and ECL) using Python. Infer performance where data is not available using statistical tools. Create simple and easy to understand dashboards for senior management consumption. Support and ensure all documentation work related to GAP acquisition from Model Development perspective. Perform extensive data mining to produce simple and automated reports to identify data issues and help prepare data for model development work. Adapt the existing models based on the data availability for short term to produce Impairment impact for the GAP portfolio. Provide ad hoc analytical support for other uses of IFRS 9 throughout the BAU risk management process and ad hoc analytical support for strategic business decisions, such as portfolio acquisitions and sales. Build targeted solutions that will integrate effectively into existing systems and processes while delivering strong and consistent performance. Participate in the overall project design and delivery working with other QAs and the end client. May telecommute pursuant to company policies. [Hybrid role]
Job Responsibility:
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
Ensure all development activities are undertaken within the defined control environment
Requirements:
Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting regulatory and impairment model
Utilize Python/SAS and robust modeling conceptual frameworks to perform quantitative model development, including the Probability of Default, Exposure at Default, and Loss Given Default models within unsecured consumer portfolios
Build Impairment Models and support all relevant analytics for the GAP Portfolio
Develop components of the IFRS 9 models (PD, EAD, LGD and ECL) using Python
Infer performance where data is not available using statistical tools
Create simple and easy to understand dashboards for senior management consumption
Support and ensure all documentation work related to GAP acquisition from Model Development perspective
Perform extensive data mining to produce simple and automated reports to identify data issues and help prepare data for model development work
Adapt the existing models based on the data availability for short term to produce Impairment impact for the GAP portfolio
Provide ad hoc analytical support for other uses of IFRS 9 throughout the BAU risk management process and ad hoc analytical support for strategic business decisions, such as portfolio acquisitions and sales
Build targeted solutions that will integrate effectively into existing systems and processes while delivering strong and consistent performance
Participate in the overall project design and delivery working with other QAs and the end client