Treasury Quantitative Analyst (AVP)

Empirical Search

Greater London

4 months ago

Applications closed

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Role Description

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

Role Requirements

Experience in developing quantitative behavioural models in Asset Liability & Management Deep understanding of statistical and econometric modelling techniques – e.g. time series analysis, regression models and various estimation techniques Excellent communication skills, including the ability to discuss technical matters with a non-technical audience as well as being proficient in python programming Previous experience in modelling non-maturing deposits, mortgage prepayment or mortgage completion models Strong experience in analysing large volumes of data including cleaning and subsequent pattern identification and clustering Experience developing, implementing of models which utilise more complex Machine learning techniques

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