About this role

Build and operate enterprise risk technology solutions that enable risk analytics, automation, and decision intelligence
Design and optimize large-scale data pipelines and risk data products on Azure Databricks
Develop SQL and Python services for data handling
Industrialize AI and ML models using governed lifecycle controls
Partner with Risk, Data Science, Engineering, and Product stakeholders
Ensure controlled delivery under SDLC controls
Architect, develop, and maintain scalable risk data pipelines
Engineer and optimize data ingestion and transformation solutions
Build, deploy, and operate AI and ML models for risk analytics
Collaborate with UI/UX and front-end teams to deliver user-centered applications
Identify and deliver process improvements for risk data processing
Communicate architecture and delivery status effectively to stakeholders

10+ years of data engineering or software development experience in financial services
Advanced hands-on expertise with Azure Databricks and core Azure services
Strong programming and database skills: Python, SQL, working knowledge of Oracle and PL-SQL
Demonstrated experience building and operating AI and ML solutions
Hands-on experience with Databricks MLflow for model tracking
Experience designing or implementing prompt-based AI agents
Proficiency with Azure DevOps and CI/CD practices
Modern UI development capability, including React
Experience leading development efforts in Agile delivery models
Strong analytical problem-solving skills
Strong stakeholder management and communication skills

Senior Risk Developer, Python, Azure

Key skills