Treasury Quantitative Analytics Manager

3 days ago


London, United Kingdom Empirical Search Full time

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 the Bank’s Enterprise Risk Management Policies, particularly Model Risk Policy Ensure all development activities are undertaken within the defined control environment Role Requirements Previous experience in Treasury Finance model development or Treasury desk support Systems engineering knowledge, including development of distributed systems Strong coding skills in Python, including close familiarity with Pandas and Numpy libraries A solid foundation in financial mathematics, in particular bond and derivative pricing and discounting Excellent communication skills, including the ability to discuss technical matters with a non-technical audience



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