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Quant Python Developer - Liquidity Risk Model Library

eFinancialCareers
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

We are currently recruiting for a quant python developer to join the liquidity risk IT group at a large international investment bank.The role resides within the Liquidity Risk Core Modelling team, which is part of the Quantitative Analysis and Technology department (QAT) of the firm. The team works closely with the Liquidity Risk Model Development team, Change and IT teams, Treasury,and key Businesses globally to develop state of the art liquidity models and analytics.Key responsibilities

  • Design, implementation, testing, maintenance and documentation of the core framework of the strategic Liquidity Risk Model library (written in Python) on an ongoing basis.
  • Defining and setting up the relevant software development process (SDLC) and its tooling, including: Jenkins pipelines for the automation of tests and build, SonarQube static code analysis, deployment.
  • Defining test cases and implementing unit and integration tests
  • Collaborating with Risk and Finance Technology teams to specify and use RESTful APIs
Key Skills
  • Quantitative development using Python, Pandas. PySpark is a plus
  • Solid understanding of algorithms and data structures and computational complexity
  • TDD
  • Git/SVN/CVS, Jira
Please submit your CV immediatley in order to be considered for this roleYour International Talent ProvideriKas International Limited is providing recruitment services for this role. By clicking APPLY NOW, you confirm that you understand that any personal data you submit through your application will be used to provide you with our recruitment services. Forfurther detail on how iKas International Limited process your data, please read the iKas Privacy Statement.

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