Date live: 05/18/2026

Business Area: Wholesale Lending

Area of Expertise: Risk and Quantitative Analytics

Contract: Permanent

Reference Code: JR-(phone hidden)

Basic/ Essential Qualifications :

- Translate AI/ML models (including LLMbased solutions) into scalable backend services and APIs.
- Build responsive, intuitive frontend interfaces for AIenabled products and internal tools.
- Develop and consume RESTful / async APIs to integrate AI services with upstream and downstream systems.
- Implement cloudnative deployments on Azure, including containerized services and CI/CD pipelines.
- Collaborate with data scientists and quants to productionize models, ensuring performance, reliability, security, and monitoring.
- Work across the full software development lifecycle: design, development, testing, deployment, and support.
- Navigate and debug complex, interdependent enterprise systems to identify and resolve issues.
- Ensure all deliverables comply with regulatory requirements, internal risk frameworks, and engineering standards.

Desirable skillsets/ good to have :

- Experience integrating ML models and/or LLMbased components into production systems.
- Solid understanding of backend frameworks (e.g., FastAPI) and API design.
- Working knowledge of frontend development using modern frameworks such as React, Angular, or similar.
- Strong working knowledge of Git and modern versioncontrol practices.
- Experience with cloud platforms, with a strong preference for Microsoft Azure.
- Sound understanding of databases (SQL and/or NoSQL) and data access patterns.
- Experience working in agile, globally distributed teams.
- Ability to work independently with a strong sense of ownership and accountability.
- Bachelor degree in a quantitative or technical discipline (Computer Science, Engineering, Mathematics,



Statistics).
- Handson experience with Azure AI services, Azure ML, Azure App Services, or AKS.
- Exposure to LLM frameworks (e.g., LangChain, LlamaIndex, semantic orchestration patterns).
- Understanding of model serving, inference optimization, and prompt engineering.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes).
- Experience with CI/CD pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions).
- Familiarity with enterprisegrade monitoring, logging, and observability tools.
- Prior experience working on frontoffice or investment banking technology platforms is a plus.

This role will be based out of Gurugram.

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 setting.

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

📌 Ai Enablement - Full Stack Developer (Gurugram)
🏢 Barclays
📍 Gurugram