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Manager | Credit Risk | Delhi | Regulatory & Financial Risk

0 years

0 Lacs

Delhi

Posted:2 days ago| Platform: GlassDoor logo

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Skills Required

risk python development software engineering code documentation linting model prototyping tuning deployment orchestration kubernetes airflow workflow git jira testing writing test reliability physics mathematics finance leadership optimization

Work Mode

On-site

Job Type

Part Time

Job Description

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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