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Director - Quantitative Analytics

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Barclays

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Location:
United Kingdom , London

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Category:
Finance

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Contract Type:
Not provided

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Salary:

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Job Description:

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Job Responsibility:

  • Drive technical architecture with technology with a keen focus on DevOps and automation across the model development & deployment life-cycle
  • Build & maintain analytical frameworks that promote the re-use of model calculation across multiple business use-case (e.g IFRS9, CECL, Stress testing)
  • Work with data scientists & quantitative model developers to drive strategic initiatives and deliver innovative financial models used for risk reporting and capital adequacy
  • Collaborate with Tech and Quantitative teams globally to develop and refine data science infrastructure in Python while driving the Modelling Data Strategy to support both model development and execution needs
  • Partner with technology to build scalable, data and analytics platforms that can connect to internal systems for pricing and/or reporting systems
  • Supervise a team of quantitative developers to build analytics by using distributed computing solutions in python
  • 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:

  • A bachelor’s or master’s degree in computer science, engineering or related technical fields
  • Expertise in python software development, with a depth in developing concurrent software solutions in its ecosystem
  • Ability to decompose complex problems into practical and operational solutions with proven experience of leading teams
  • Excellent communicator and team player, possessing board managerial, critical problem solving, debugging and troubleshooting skills
  • Expertise in stakeholder management across business & technology partners with a proven ability to deliver according to the agreed timelines
  • Experience in MLOps is preferred along with DevOps tools such as Git, TeamCity
  • Experience with frameworks like kedro, mflow and platforms like databricks a plus
  • Experience in developing frameworks for mathematical, statistical, and machine learning models and analytics used in financial institution preferred

Nice to have:

  • Experience in MLOps is preferred along with DevOps tools such as Git, TeamCity
  • Experience with frameworks like kedro, mflow and platforms like databricks a plus
  • Experience in developing frameworks for mathematical, statistical, and machine learning models and analytics used in financial institution preferred
What we offer:
  • Hybrid working
  • Structured approach to hybrid working with fixed 'anchor' days
  • Supportive and inclusive culture and environment
  • Commitment to flexible working arrangements
  • International scale offering incredible variety, depth and breadth of experience
  • Chance to learn from a globally diverse mix of colleagues
  • Encouragement to embrace mobility

Additional Information:

Job Posted:
January 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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