AVP Python Developer, Counterparty Credit Risk — Cloud-Ready

Citi

Greater London

On-site

GBP 85,000 - 110,000

Full time

33 hours ago
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Job summary

Citi in London is seeking a Counterparty Credit Risk Developer, an intermediate level role responsible for developing and advancing the derivatives credit risk application. The role involves maintaining risk metrics, contributing to CI/CD, performance profiling, and collaborating with Quant and Technology teams in a cloud-enabled, high-performance computing environment.

We value Python, AWS, and strong communication; a Master’s degree is required.

Qualifications

  • Programming experience in Python, including systems analysis and software development.
  • Proficiency with UNIX shell scripting and Git.
  • Experience with CI/CD pipelines (e.g., Jenkins).
  • Excellent analytical and problem-solving skills.
  • AWS cloud experience is a plus.
  • Strong English communication, both verbal and written.
  • Ability to collaborate in large developer teams.
  • Master’s degree or equivalent in relevant fields.

Responsibilities

  • Develop and maintain Counterparty Credit Risk applications.
  • Enhance and support CI/CD processes including build, test, and release management.
  • Optimize codebase performance and transition to cloud workflows.
  • Expand and execute unit/regression/integration tests and profile performance/memory.
  • Create and maintain documentation for applications and processes.
  • Collaborate with Quant and Technology teams to integrate model updates.
  • Analyze complex issues and provide evaluative judgments.
  • Serve as SME for senior stakeholders and team members.

Skills

Python
Unix shell scripting
Git
CI/CD (Jenkins)
AWS cloud
English communication
Team collaboration
Ownership under pressure

Education

Master’s degree or equivalent in computer science, mathematics, engineering, or physics

Tools

Jenkins

Job description

Citi in London is seeking a Counterparty Credit Risk Developer, an intermediate level role responsible for developing and advancing the derivatives credit risk application. The role involves maintaining risk metrics, contributing to CI/CD, performance profiling, and collaborating with Quant and Technology teams in a cloud-enabled, high-performance computing environment.

We value Python, AWS, and strong communication; a Master’s degree is required.

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