Assistant Manager – Markets & AI Modelling Tech, Tooling – Model Risk Office

Role Overview

• You’ll join a dedicated team responsible for the development, implementation, and support of AI/GenAI tooling to enable scalable, efficient, and reliable validation and risk oversight.
• Responsibilities will also include: Collaborating to develop tools for validation, testing, explainability, and monitoring.
• Supporting validation activities by developing prototype pipelines and frameworks for testing AI/GenAI models.
• Building and maintaining reusable code libraries to automate model documentation, validation, and risk assessments.
• Driving technical innovation and continuous improvement of the validation tooling environment.
• Developing benchmark testing templates and reporting dashboards to streamline assurance across use cases.
• Monitoring emerging technologies (e.g., LLMOps, RAG pipelines, agent toolkits) to future-proof the validation and tooling landscape.
• Supporting knowledge sharing, collaboration, and tooling governance across stakeholders.

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 such as Data Science, Statistics, Mathematics, Computer Science or Physics, or equivalent experience.
• 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 stakeholders.
• To work proactively and independently, manage time effectively, and deliver high-quality outputs within tight timelines.
• Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, Ollama, LlamaIndex, or similar tools; proficiency in SQL
• Hands-on experience or strong theoretical knowledge of GenAI techniques and methodologies.
• Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments.
• Experience or understanding of frontend development for internal tools or dashboards, with knowledge of TypeScript/JavaScript and modern UI frameworks such as React; familiarity with basic UI/UX principles is desirable, along with an understanding of how AI tooling is consumed by end users.
• Experience or understanding of backend and API development, including designing and consuming RESTful endpoints, integrating services, and supporting end‑to‑end workflows for AI or data-driven applications.
• Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU AI Act, GDPR, SS1/23, and industry best practices in AI ethics and governance.

Tech Stack

• Azure
• BigQuery
• Cloud
• Google Cloud Platform
• JavaScript
• Python
• PyTorch
• React
• SQL
• Tensorflow
• TypeScript

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