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Treasury Quantitative Analytics Manager

We have an exciting opportunity for an AVP/Manager level candidate to join the newly created Treasury Quantitative analytics division of a leading universal banking client of ours. The role is primarily to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. The role will be central London based and offer a hybrid working pattern to the successful applicant

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

Application for:

Treasury Quantitative Analytics Manager

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