Manager | Credit Risk | Delhi | Regulatory

2 weeks ago


Delhi, Delhi, India Deloitte Full time US$ 90,000 - US$ 1,20,000 per year

Job requisition ID :: 86960

Date: Aug 12, 2025

Location: Delhi

Designation: Manager

Entity: Deloitte Touche Tohmatsu India LLP

  • Essential:
  • Deep understanding of Python development and software engineering best practice: experience designing and optimising Python / C++ code for complex quantitative applications. This should include robust code structure, clear documentation, and best practices (e.g., linting, type hinting, CI/CD).
  • Model development from scratch: hands-on experience building quantitative or numerical models end-to-end in Python / C++, including prototyping, performance tuning (CPU/memory), and thorough testing.
  • Cloud and container deployment: solid track record deploying production-grade Python / C++ applications on cloud platforms, using container orchestration (e.g. Kubernetes) and job orchestration frameworks (e.g. Airflow, Flowren).
  • Software engineering workflow: comfortable collaborating via Git-based workflows, code review processes, and ticketing systems (e.g., JIRA), with a focus on maintainability and scalability.
  • Automated testing: strong background in writing and maintaining test suites (e.g., Pytest for Python) to ensure reliability and facilitate continuous integration.
  • Preferred:
  • Quantitative background: degree in Physics, Mathematics, Engineering, or a related field, with exposure to modelling and numerical methods.
  • Financial modelling: experience developing credit models or other quantitative finance models, ideally within a regulatory context.
  • Technical leadership: proven ability to lead and mentor development teams, review complex pull requests, and champion best practices in both performance optimization and code quality.


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