Being passionate to work as part of a next generation product
Implement adopted design/development methodologies
Understanding business objectives and designing models that help to achieve them
Managing available resources so that deadlines are met
Exploring and visualizing data to gain an understanding of it
Verifying data quality, and/or ensuring it via data cleaning
Design and develop machine learning algorithms
Support development of risk monitoring frameworks, dashboards, and early warning indicators
Translate enterprise risk and compliance requirements into data-driven solutions
Prepare and analyse historical data and identify patterns
Provide technical support for program management and business development activities
Supervising the data acquisition process
Training models and tuning their hyperparameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production

8–12+ years of experience in Microsoft technology stack
Strong exposure to enterprise-scale applications
Proven experience in leading end-to-end solution delivery
Experience in Azure Web Apps development and Deployments
Experience in Microservices and server less architecture
Must Have – React JS/Angular JS, Next JS Frameworks
C#/.NET, GenAI prompts
Nice to Have: Cognitive services
Azure Bot Framework, NLP, NLG, Vision Services
Nice to Have: Python Basics
Have good experience in DevOps Pipeline creations
Ability to architect front-end apps integrated with cloud services: Azure Static Web Apps
Good understanding of Gen AI

Risk Analytics Manager – Full Stack Front End, React, Angular

Key skills