To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Build the next generation of AI‑driven risk solutions at Barclays. This is a rare opportunity to join a new Quant AI/ML team within QA, focused on developing cutting‑edge generative AI applications that will transform how risk and finance functions operate. You’ll work on high‑impact projects—from payment systems to credit and finance use cases—while shaping the bank’s approach to large language models, vector databases, and next‑generation AI tooling. If you’re excited by innovation, hands‑on model development, and the chance to influence a greenfield capability, this role offers an exceptional platform to grow.
Location: London
This is a rare opportunity to join a new Quant AI/ML team within QA, focused on developing cutting‑edge generative AI applications that will transform how risk and finance functions operate. You’ll work on high‑impact projects—from payment systems to credit and finance use cases—while shaping the bank’s approach to large language models, vector databases, and next‑generation AI tooling. If you’re excited by innovation, hands‑on model development, and the chance to influence a greenfield capability, this role offers an exceptional platform to grow.
To be successful as a Quant AI / ML Model Developer, you should have experience with: * Python programming and implementing AI/ML models, ideally including generative AI. * Working with large language models, prompt engineering, RAG pipelines, or vector databases. * Applying quantitative or technical skills gained through a relevant degree (e.g., computer science, maths, physics). * Understanding of the GenAI landscape, including model options, implementation details, and platforms such as Bedrock. * Familiarity with financial services or experience working in a banking environment. * Strong communication skills to simplify complex technical concepts for diverse stakeholders.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
