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Date live:
Feb. 26, 2026
Business Area:
Risk
Area of Expertise:
Risk and Quantitative Analytics
Reference Code:
JR-0000096548
Contract:
Permanent
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Explore locationTo 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).
Some other highly valued skills may include:
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
This role is based in our Prague Location.
Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
Assistant Vice President Expectations
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.