Senior Python Developer, Credit Risk Analytics

Citi; New York (NY); On-site; USD 13,000 - 19,000; Full time

Job summary

Citi is seeking a Senior Python Developer to join the Credit Risk Technology team. You will work with Front Office Quants, Model Development, Risk Management, and Technology to build high-performance risk analytics solutions and support regulatory requirements.

The role emphasizes Python development, platform optimization, and collaboration across global teams. Strong fundamentals in software engineering and experience with enterprise-grade applications are essential for success.

Qualifications

• 3 to 6 years of professional software development experience.
• Strong hands-on Python programming experience with object-oriented design principles.
• Experience developing enterprise-grade applications.
• Experience with Linux/Unix platforms and Git workflows.
• Familiarity with SQL and data processing frameworks.

Responsibilities

• Design, develop, and maintain applications supporting counterparty credit risk and exposure calculations.
• Develop scalable and high-performance solutions using Python.
• Collaborate with Quantitative Research, Model Development, and Front Office Technology teams to integrate analytical models.
• Enhance and support risk calculation workflows across multiple asset classes.
• Analyze and optimize application performance, scalability, and reliability.
• Develop and maintain automated testing frameworks including unit, integration, and regression testing.
• Support CI/CD pipelines, release activities, and platform modernization.
• Investigate and resolve production issues and provide technical documentation.

Skills

Python programming

Linux

Git

CI/CD

Agile

Education

Bachelor's or Master’s in CS/Engineering/Math/Finance

Tools

Git

SQL

CI/CD tools

Job description

Citi is seeking a Senior Python Developer to join the Credit Risk Technology team. You will work with Front Office Quants, Model Development, Risk Management, and Technology to build high-performance risk analytics solutions and support regulatory requirements.

The role emphasizes Python development, platform optimization, and collaboration across global teams. Strong fundamentals in software engineering and experience with enterprise-grade applications are essential for success.