Job Summary
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
Key Responsibilities
2. Collaborate with stakeholders to gather requirements and provide technical expertise.
3. Conduct code reviews and ensure adherence to coding standards.
4. Troubleshoot and debug software applications to optimize performance.
5. Implement best practices for software development and deployment.
6. Document technical specifications and user manuals.
7. Participate in team meetings and provide technical guidance and support.
8. Stay updated on emerging technologies and recommend improvements to existing systems.
Skill Requirements
2. Strong programming skills in python and java for backend development.
3. Knowledge of api development and integration using spring boot.
4. Experience in database management systems and sql queries.
5. Familiarity with cloud platforms and microservices architecture.
6. Problem-solving abilities with a strategic and innovative mindset.
7. Excellent communication and collaboration skills to work effectively in a team environment.
8. Ability to multitask, prioritize work, and meet deadlines efficiently.