Responsibilities
- 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 your technical expertise across the LBG modelling landscape
- Delivering through others by managing and coaching more junior team members
- Leading model assessment through documentation review, quantitative analysis and development of benchmark models
- Raise validation challenges/findings with model owners and provide actionable reporting on validation outcomes to senior members of the team
- 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
Requirements
- 3+ years professional experience working in Model Development or Validation
- Ability to lead small scale projects including coaching or supporting other 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 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 is a plus
- Proficiency in SQL is a plus
- Familiarity with cloud AI platforms such as GCP Vertex AI, BigQuery, Azure AI, or similar environments is a plus
- Experience or knowledge of regulatory requirements and frameworks relevant to AI is a plus
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