Join a dedicated team that independently reviews, analyses, and validates AI/GenAI models
Lead independent validation and periodic reviews of GenAI and Agentic models
Engage with a diverse array of use cases, improving technical expertise across the LBG modelling landscape
Delivering through others by managing and coaching more junior team members
Raise validation challenges/findings with model owners and provide clear, concise, and actionable reporting on validation outcomes
Applying judgement in reviewing and supporting Risk Classifications
Owning the stakeholder relationships for a portfolio of models
Contribute to the improvement of validation frameworks and processes related to AI models
Track emerging trends in AI technologies, regulatory requirements, and industry standards

3+ years professional experience working in Model Development or Validation
Deep understanding of different model techniques and the use of models in different business areas, including experience with GenAI / Agentic models
Ability to lead small scale projects, coaching or supporting team members
Proficiency in Python for model analysis
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
A numerate degree or equivalent experience, for example in Data Science, Statistics, Mathematics, Computer Science or Physics
Experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools
Proficiency in SQL
Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments
Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU AI Act, GDPR, SS1/23, and industry best practice in AI ethics and governance

Independent Validation Manager, Model Risk Office – Markets & AI Modelling

Key skills