Risk Analytics - Full Stack Engineer - Senior

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.

Full stack Engineer   About Global Delivery Services   Global Delivery Services refers to EY's worldwide network of service delivery centres. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.   Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.   Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.   Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.     The Opportunity   Full stack Engineer   Your Key Responsibilities

Being passionate to work as part of a next generation product, ready to be agile and have innovation mindset Implement adopted design/development methodologies, patterns, and toolsets. Understanding business objectives and designing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning. Design and develop machine learning algorithms.   Discover, design, and develop analytical methods to support novel approaches of data and information processing. Design and develop novel algorithms. Perform explanatory data analyses. Prepare and analyse historical data and identify patterns. Provide technical support for program management and business development activities including proposal writing and customer development Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production

Skills and attributes for success

5+ years of Experience in Microsoft Technologies. Experience in Azure Web Apps development and Deployments. Experience in Microservices and server less architecture with service fabric, functions and API apps, service bus, message queues .NET/ Web API (.NET CORE) Must Have – React JS/Angular JS, Next JS Frameworks

Lead frontend architecture decisions and ensure best practices in React/Angular, JavaScript, and TypeScript. Collaborate closely with product managers, designers, and backend engineers to deliver quality features. Optimize application performance, responsiveness, and accessibility across devices and browsers.

C#/.NET, GenAI prompts Nice to Have: Cognitive services - Azure Bot Framework, NLP, NLG, Vision Services