Chennai · Staff/Principal
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Model Engineer (Developer) About the programme: A large-scale transformation programme delivering integrated credit risk data, analytical models, capital calculations, regulatory reporting, and production operations through a modern, scalable, controlled, and audit-ready technology platform. Summary Requirement What this role does Builds production-grade analytical applications, calculation engines, and model implementations from approved specifications. Responsible for coding, testing, performance, scalability, reliability, and production readiness. Recruiter should look for Implementation of mathematical, statistical, and analytical models in production software Statistical and analytical algorithm implementation Key skills Software Engineering Python, Java, or Scala Advanced SQL Analytical and Quantitative Computing Data Engineering Automated Testing CI/CD Performance Optimisation Spark / PySpark / Databricks Logging, Monitoring, and Configuration Management Typical backgrounds Software Engineer Quantitative Developer Analytics Engineer Risk Technology Developer Data Engineer with analytical application experience Financial Technology Engineer Mandatory experience 5-12 years developing analytical, calculation, risk, or financial applications Strong programming and software engineering capability Experience building production-grade applications and automated tests Experience supporting deployment and production operation Nice to have experience Credit Risk or Basel platforms Databricks, Spark, Azure, AWS, GCP ModelOps Regulatory reporting platforms Detailed Requirement Role Summary The Model Engineer converts approved quantitative specifications and analytical prototypes into reliable, scalable, and production-grade analytical solutions. The role is responsible for implementing calculation logic, analytical models, and data-processing components while preserving approved quantitative requirements and expected outcomes. It ensures numerical accuracy, reproducibility, performance, auditability, and operational readiness across the analytical solution lifecycle. Working closely with quantitative specialists, data teams, and platform engineers, the Model Engineer transforms specifications into maintainable software assets that sup
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