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Quantitative Analytics - AVP

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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:

Shape the models that shape Barclays’ future. In this Quantitative Analytics role, you’ll be part of a highly skilled London‑based team building statistical and credit risk models that directly support decision‑making for retail portfolios. You’ll work with cutting‑edge tools, collaborate with colleagues across London, Noida, and New York, and contribute to models that evolve as fast as the open‑source technologies behind them. For someone who loves continuous learning, complex problem‑solving, and translating technical concepts into clear insights, this is a role where your impact will be felt across the business.

Job Responsibility:

  • 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:

  • Proficiency in Python (or strong skills in another programming language with willingness to pivot to Python)
  • Building or supporting statistical or credit risk models, ideally within retail portfolios
  • Applying quantitative methods gained through a degree in maths, physics, computer science, or a similar discipline

Nice to have:

  • The ability to communicate complex quantitative topics in a simple, business‑friendly way
  • Adaptability when working with global teams and evolving modelling platforms
  • Experience collaborating across regions, including India and the US, with strong interpersonal and teamwork skills
What we offer:
  • Supporting active commuters (cycle hire, parking, showering and changing facilities)
  • Time to connect (CoSpace drop-in co-working space)
  • Wellbeing in focus (gym, exercise studios, personal training, massage therapy)
  • Advanced trading floors

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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