Python Counterparty Credit Risk Developer - AVP

Counterparty Credit Risk Analytics is a group within Citi Financial Risk Technology, responsible for developing applications used for derivatives credit risk and exposure calculations firm-wide. The role involves developing and maintaining applications calculating Counterparty Credit Risk metrics and collaborating with internal teams including Front Office Technology, Risk, and Quant groups.

• Minimum 4 years of programming experience in Python, including systems analysis and software application development.
• Proficiency with UNIX shell scripting (e.g., bash, ksh) and version control software like Git.
• Experience with CI/CD pipeline technologies, such as Jenkins.
• Outstanding analytical and problem-solving skills with a thorough and detailed approach to accuracy.
• Excellent verbal and written communication skills in English.
• Ability to collaborate effectively within a large team of developers.
• Capacity to work under pressure, manage deadlines, and take ownership of tasks.
• Master’s degree or equivalent in computer science, mathematics, engineering, or physics.

• Develop and maintain Counterparty Credit Risk applications using Python and C++ model libraries.
• Enhance and support CI/CD processes, including build, testing, and release management.
• Optimize codebase performance and facilitate the transition to cloud-based workflows.
• Expand and execute test suites (unit, regression, integration) and conduct performance/memory profiling.
• Create and maintain comprehensive documentation for applications and processes.
• Collaborate with Quant and Technology teams to integrate model updates and new technologies.
• Analyze complex issues and provide evaluative judgments on business and system processes.
• Serve as a Subject Matter Expert (SME) for senior stakeholders and team members, exercising independent judgment.