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Qa Retail Credit Risk Model Developer

barclays.co.uk Logo

barclays

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Location:
India , Noida

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Join us as a "QA Retail Credit Risk Model developer" in our Quantitative Analytics team. The Quantitative Analytics (QA) is a global organisation of highly specialized quantitative modellers and developers.QA is responsible for developing, testing, implementing, and supporting quantitative models for valuation and risk management of traded assets, regulatory and economic capital, impairments, asset-liability management, operational risk, net revenue and balance sheet forecasting, and stress testing across Barclays. To be a Successful "QA Retail Credit Risk Model developer" the ideal candidate would be building targeted solutions that integrate effectively into existing systems and processes while delivering strong and consistent performance. Working with QA Managers, the quantitative modeller role provides expertise in project design, predictive model development, validation, monitoring, tracking, implementation and/or specification.

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:

  • Minimum Bachelor’s Degree in quantitative discipline
  • Hands-on experience in statistical model development and basic knowledge of Capital and impairment concepts
  • A good knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.)
  • Proficiency with analytical software R or Python, SQL tools (e.g., Oracle), Unix platforms, and MS Office required
  • Advanced Python Programming and knowledge of Python/R/C++ coding
  • Model implementation using DevOps tools like TeamCity, Jira, BitBucket and Nexus etc
  • Project and stakeholder management
  • Experience in financial institution data, supporting model development, implementation and productionisation within credit wholesale, consumer, finance or treasury

Nice to have:

  • Masters degree
  • Knowledge of Big Data platforms such as HADOOP and its eco-system
  • Knowledge of credit card and/or banking retail business (specifically Mortgage and Unsecured) is strongly preferred
  • Good exposure to statistical model development - familiarity with Consumer or Wholesale Credit risk modelling experience
  • Supported or working on stress testing across Risk, Treasury or Finance
  • Data science and Machine learning background
  • Experience working within quantitative analytics team delivering models
  • An understanding of the fundamental principles of the Basel and / or of IFRS 9 standards
What we offer:
  • Hybrid working
  • Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
  • Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Additional Information:

Job Posted:
December 23, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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