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Avp ml and genai model validation

barclays.co.uk Logo

Barclays

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Location:
India , Noida

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Embark on a transformative journey as an AVP ML and GenAI Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

Job Responsibility:

  • Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models
  • Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses
  • Assessment of any compensating controls used to mitigate Model risk
  • Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement
  • Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning
  • Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty

Requirements:

  • Highly numerate, evidenced by an Honours degree, master’s, or PhD (or equivalent) in a quantitative discipline such as Computer Science, Mathematics, Physics, Operational Research, Economics, Engineering, or Finance
  • Experience developing, validating, or independently reviewing best‑in‑class tools and AI/ML models for large financial institutions or comparable regulated environments, with the ability to effectively challenge and improve model methodologies and model management processes
  • Strong analytical and technical expertise in AI/ML modelling, including experience with ML algorithms (e.g., XGBoost, LightGBM, Random Forest), NLP models, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
  • Experience developing or validating AI/ML models on large datasets in Hadoop/AWS environments
  • Designed, fine‑tuned, and shipped Generative AI models - transformer‑based LLMs, RAG systems for grounded retrieval, and GANs-using PyTorch/TensorFlow and Hugging Face, including prompt engineering, RLHF, and rigorous evaluation of GenAI models
  • Hands‑on experience with Generative AI technologies, including Large Language Models, Transformers, retrieval‑augmented generation (RAG), and prompt‑based systems
  • familiarity with LangChain and LangGraph
  • Experience designing, developing, validating, or reviewing agent‑based AI architectures, including multi‑agent orchestration, task planning, memory management, and safeguard mechanisms
  • Sound understanding of financial services regulatory expectations and model risk guidance (e.g., SR 11‑7, SS1/23, IFRS 9, EU AI Act etc.)
  • Strong communication and influencing skills, with the ability to produce high‑quality written material for both technical and senior non‑technical audiences
  • Highly organised, with strong attention to documentation quality, governance requirements, and follow‑through on actions

Nice to have:

  • Experience developing or validating customer‑facing or material GenAI/agentic AI use cases, including chatbots, document generation, summarisation, and decision‑support tools
  • Prior exposure to model risk management activities such as inception validation, periodic validation, annual reviews, and material model change assessments
  • Familiarity with Responsible AI practices, including fairness, bias detection and mitigation, explainability, human‑in‑the‑loop controls, and broader ethical AI considerations
  • Exposure to agentic AI systems, orchestration frameworks, and multi‑model workflows
  • Relevant certifications or formal training in Generative AI, Large Language Models (LLMs), or Machine Learning
  • Ability to work effectively within a high‑performing, globally‑distributed team, and to collaborate across diverse technical and control functions
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
Job Link Share:

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