Join a dedicated team responsible for the independent review, analysis and validation of GenAI models.
Assist with independent validation and periodic reviews of GenAI models, ensuring models are robust, fair, explainable, and aligned with applicable regulations.
Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance.
Develop benchmark models and conduct quantitative analysis / recoding, predominantly using Python/GCP.
Review model documentation to evaluate the soundness of the model and infrastructure, from inputs to use of the outputs.
Raise validation challenges/findings and follow through to resolution.
Provide clear, concise, and actionable reporting on validation outcomes and AI risk assessments to senior members of the team.
Contribute to the improvement of validation frameworks and processes related to AI models.

Requirements

Professional experience working in AI Model Development / Validation, or a similar quantitative role within financial services or other regulated industries; or a recent relevant PhD.
A numerate degree or equivalent experience, for example in Data Science, Statistics, Mathematics, Computer Science or Physics.
Strong analytical and problem-solving skills with the ability to critically evaluate complex AI systems and models.
Excellent written and verbal communication skills, with an ability to communicate complex quantitative concepts clearly to non-technical customers.
Ability to work proactively and independently, manage your time optimally, and deliver high-quality outputs within set timelines.
Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL.
Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies.
Familiarity with cloud AI platforms such as GCP Vertex 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.

Benefits

A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
28 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLAI Model DevelopmentAI Model ValidationData ScienceStatisticsMathematicsComputer SciencePhysicsQuantitative Analysis

Soft Skills

Analytical skillsProblem-solving skillsWritten communicationVerbal communicationProactive work ethicTime managementIndependent workCritical evaluationActionable reportingCollaboration