The Senior Python Developer role within Risk Technology focuses on designing and delivering AI-enabled automation for the quantitative model lifecycle, addressing market and credit risk models. This hands-on engineering position requires collaboration with quantitative analysts, model validators, and data engineers to create robust solutions. The developer will be responsible for building tools and services that enhance model documentation, testing, and data analysis. The role emphasizes engineering best practices and mentoring junior developers.

• 7+ years of professional software development experience with deep expertise in Python and its data/engineering ecosystem.
• Proven track record of delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment.
• Solid AI/ML knowledge, including practical experience with machine learning libraries and/or LLM-based application development.
• Strong experience with test automation, CI/CD, and modern software engineering practices.
• Experience working with large datasets, data quality checks, and SQL.

• Design, develop, and maintain Python-based services, pipelines, and tools supporting automation of the quantitative model lifecycle.
• Build and operate automated testing and validation frameworks for quantitative models.
• Develop data analysis and reconciliation tooling over large-scale risk datasets.
• Contribute to model lifecycle management tooling including model inventory and workflow orchestration.
• Implement AI/ML components within the model workflow and integrate AI tooling into a controlled environment.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.