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 individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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.

Join us as an "Senior Python Developer (AIFocused) – AVP” at Barclays. within the IB Analytics team in Barclays. The role owner will be responsible for the handson development, enhancement, debugging, and testing of Generative AI and Machine Learning models, and for packaging these models into lightweight, cloudnative platforms where required.

To be a successful “Senior Python Developer (AIFocused) – AVP" will have experience building Pythonbased AI solutions that can be executed via services such as Azure Functions or similar serverless components, enabling scalable and controlled model consumption for multiple Investment Banking use cases.

You may be assessed on the key critical skills relevant for success in role, such as you will work closely with data scientists, quants, ML engineers, and business stakeholders to operationalize AI models into robust, secure, and userfriendly applications. You will be part of an agile, global team driving AI adoption across multiple Investment Banking use cases. 

Basic/ Essential Qualifications:

• 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. 

• Strong working knowledge of Git and modern versioncontrol practices. 

• Experience with cloud platforms, with a strong 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. 

Desirable skillsets/ good 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. 

• Strong 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. 

• Bachelor degree in a quantitative or technical discipline (Computer Science, Engineering, Mathematics, Statistics). 
• 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.

This role will be based out of Gurugram.