Barclays
Financial Services
SeniorPythonDeveloper(AIFocused)–AVP
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optimal for Senior candidates.
“Senior Python Developer (AIFocused) – AVP at Barclays. Skills: Python, Generative AI, Machine Learning, Model development, Model implementation, Azure Functions, LLMs. Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics. Design analytics and modelling solutions to complex business problems”
What You'll Achieve.
Deliver on work that impacts the whole business function; Ensure outputs are reliable, explainable, and fit for business use; Achieve outcomes
Industry & Context.
Design analytics and modelling solutions to complex business problems; Solve problems creatively and effectively; Consult on complex providing advice to People Leaders to support the resolution of escalated issues
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy, Ensure all development activities are undertaken within the defined control environment
What They're Looking For.
Must Have
Design, develop, enhance, and maintain Generative AI and ML models using Python, Independently debug, optimize, and test GenAI pipelines and model components with minimal supervision, Develop Pythonbased model execution layers, including: Azure Functions or similar serverless components, Lightweight APIs or callable services for model inference, Work closely with bankers and business stakeholders to understand requirements and translate them into: Model logic, Prompt structures, Evaluation and validation frameworks, Implement and refine LLMbased workflows, including prompt engineering, orchestration logic, and retrievalbased approaches, working knowledge of Git and modern versioncontrol practices, Experience with cloud platforms, with a preference for Microsoft Azure, Support integration of models into Azurebased environments, collaborating with platform or enablement teams where required, Perform model validation, performance analysis, and error analysis, ensuring outputs are reliable, explainable, and fit for business use, Maintain clear documentation of model behavior, assumptions, limitations, and interfaces, Contribute to best practices for GenAI development, testing, and governance in a regulated environment
Nice to Have
Strong, handson experience in Python for ML / GenAI model development, Proven experience developing, debugging, and enhancing Generative AI or advanced ML models in production or nearproduction environments, Solid understanding of LLMs, transformerbased architectures, and GenAI workflows, Experience packaging models into callable services (Azure Functions), Prior experience in banking, financial services, or capital markets, Ability to work independently with minimal supervision, owning model delivery endtoend, communication skills, with the ability to engage directly with bankers, clarify problem statements, and incorporate feedback into model design, Experience working in global, crossfunctional teams, Handson experience with Azure cloud services, including: Azure Functions, Azure storage or messaging components (Blob, Queue, Service Bus, etc. ), Exposure to LLM orchestration frameworks (e. g. , LangChain, LlamaIndex), Experience with prompt engineering, RAG pipelines, or agentbased workflows, Familiarity with model serving, inference optimization, and monitoring in cloud environments, Understanding of model risk management, explainability, and governance in regulated firms, Experience working alongside AI enablement or platform teams for deployment and scaling
What You'll Do.
and support mathematical
and machine learning models and analytics
Design analytics and modelling solutions to complex business problems
Specify dependencies required for analytical solutions
Develop high performing
comprehensively documented analytics and modelling solutions
Demonstrate efficacy of analytics and modelling solutions
Implement analytics and models in accurate
Operationalise analytics and models
Provide ongoing support for analytics and modelling solutions
and testing of Generative AI and Machine Learning models
Packaging models into lightweight
cloudnative platforms
Building Pythonbased AI solutions
Operationalize AI models into robust
and userfriendly applications
How You'll Work.
Team & Collaboration
Collaboration with technology to specify dependencies; Work closely with data scientists, quants, ML engineers, and business stakeholders; Part of an agile, global team; Collaborate with other functions/ business divisions; Lead collaborative assignments and guide team members; Perform work closely related to other areas, understanding coordination; Collaborate with other areas of work, for business aligned support areas; Engage in complex analysis of data from multiple sources; Work with technology to operationalise them; Support integration of models into Azurebased environments, collaborating with platform or enablement teams
Communication Scope
Communicate complex information; Influence or convince stakeholders to achieve outcomes; Ability to engage directly with bankers, clarify problem statements, and incorporate feedback into model design
Process & Methodology
Lead a team performing complex tasks, Set objectives and coach employees, Appraisal of performance relative to objectives, Determination of reward outcomes, Lead collaborative assignments, Identify new directions for assignments and/ or projects, Owning model delivery endtoend
Full Job Description
# **Job Description** **Purpose of the role** To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making **Accountabilities** * Design analytics and modelling solutions to complex business problems using domain expertise. * Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. * Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. * Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. * Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. * Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. * Ensure all development activities are undertaken within the defined control environment. **Assistant Vice President Expectations** * To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. * Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an in
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