Risk Analytics FullStack Senior UP 201301

EY · Consulting & Professional Services

Noida, India
On-site
Posted today
Apply by 6 Nov
Data & AI

About the job

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY- Risk Consulting – Risk Analytics – Full Stack Senior

As part of our Risk Analytics team, you will help clients identify, assess, monitor, and mitigate business and operational risks using data, analytics, automation, and AI-driven solutions.

You will play a key role in delivering end-to-end full stack solutions, translating business requirements into scalable technical designs, and working closely with stakeholders to build innovative digital products. The role requires strong development expertise, problem-solving skills, and experience with modern application architectures, cloud platforms, and emerging technologies including AI-enabled solutions.

The opportunity

We are seeking a highly skilled and experienced .NET Full Stack and Azure Senior Developer with strong expertise in Angular, React, microservices, and Agentic AI application development. In this hands-on role, you will design, develop, test, and deploy scalable AI-driven applications using Microsoft Azure cloud services and modern .NET technologies. You will collaborate with architects and cross-functional teams, contribute to technical design decisions, write high-quality code, troubleshoot complex issues, and support the delivery of secure, reliable, and high-performance solutions.

Your key responsibilities

Design and develop scalable, secure, and high-performance full stack applications using C#/.NET Core, Angular/React, and SQL Server.

Develop and maintain microservices-based solutions on Azure, applying best practices in cloud development, DevOps, and CI/CD pipelines.

Build and integrate Agentic AI applications leveraging AI/ML models and Azure AI services.

Collaborate with cross-functional teams including data scientists, product managers, and business stakeholders to translate AI capabilities into production-ready solutions.

Support junior developers through code reviews, technical guidance, and knowledge sharing while contributing to continuous improvement.

Follow established coding standards, architectural guidelines, and security practices, and contribute recommendations for improvement.

Develop and optimize Azure-based solutions for cost, performance, reliability, and scalability.

Stay current with emerging technologies and industry trends in AI, cloud computing, and full stack development.

Skills and attributes for success

Primary :

Proven hands-on experience as a Senior Full Stack Developer, with strong proficiency in C#/.NET Core, Angular or React and SQL Server.

Strong hands-on experience developing, integrating, and maintaining microservices-based applications using .NET technologies.

Hands-on experience developing and deploying applications using Microsoft Azure services, including Azure App Service, Azure Functions, Azure Kubernetes Service (AKS), Azure DevOps, and Azure AI services.

Experience implementing and supporting CI/CD pipelines for application code and infrastructure using Azure DevOps, GitHub Actions, or similar tools.

Good understanding of AI/ML concepts, with practical experience developing or integrating Agentic AI applications and intelligent systems.

Experience developing and integrating RESTful APIs and working with containerization and orchestration technologies such as Docker and Kubernetes.

Solid knowledge of the software development lifecycle, Agile delivery methodologies, DevOps practices, testing, debugging, and code-quality standards.

Strong problem-solving, debugging, communication, collaboration, and technical mentoring skills.

Bachelor’s or Master’s degree in computer science, Engineering, or related field.

Overall, 4-8 years of experience.

Secondary:

Demonstrated experience in the Risk domain, with a strong understanding of risk management, internal controls, compliance, regulatory requirements, and technology-enabled risk solutions.

Understanding of security, auditability, governance, and regulatory compliance requirements.

Experience with high-availability and mission-critical enterprise applications.

Experience with Python-based backend frameworks such as FastAPI, Flask, or Django.

Working knowledge about various AI Agents/ Agentic workflow and multi-agent frameworks and SDKs.

Understanding of various types of Large Language Models (LLMs).

Fundamental understanding of Retrieval Augment Generation (RAG) techniques.

Experience with M365 Copilot Studio.

Microsoft Azure AI-901/ AI-103 Certification.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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