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Barclays Services Corp. seeks Assistant VP, Quantitative Risk Analyst in New York, NY (multiple positions available): Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting regulatory, impairment and decision models. Implement models in python based Barclays Model Execution Framework (MEF) and Model Execution Service (MES) production environments. Participate in overall project design and delivery with QA’s other functional teams and end-clients. Produce robust documentation to ensure replicability of results and fulfill Barclays governance requirements. Provide support for audits of model development and implementation, by both internal and external auditors working constructively with other Barclays resources to deliver projects. Work with other QA staff to ensure project completion within agreed time frames and end-client satisfaction. May telecommute pursuant to company policies (hybrid role).
Job Responsibility:
Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
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, impairment and decision models
Implement models in python based Barclays Model Execution Framework (MEF) and Model Execution Service (MES) production environments
Participate in overall project design and delivery with QA’s other functional teams and end-clients
Produce robust documentation to ensure replicability of results and fulfill Barclays governance requirements
Provide support for audits of model development and implementation, by both internal and external auditors working constructively with other Barclays resources to deliver projects
Work with other QA staff to ensure project completion within agreed time frames and end-client satisfaction
What we offer:
Incentives pursuant to Barclays Employee Referral Program
Wellness center
Fitness centres
Health center providing primary and urgent care, wellness exams, health coaching, and vaccinations
Sophisticated dining options including a colleague restaurant and a private executive dining room