Senior Python Developer - Quant Models AI Automation, Vice President

Design, develop, and maintain Python-based services, pipelines, and tools supporting automation of the quantitative model lifecycle across market risk and credit risk model families.

Build and operate automated testing and validation frameworks for quantitative models, including test orchestration, result capture, benchmarking, and reporting.

Develop data analysis and reconciliation tooling over large-scale risk datasets, ensuring data quality, lineage, and traceability across risk platforms.

Contribute to model lifecycle management tooling : model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation.

Implement AI/ML components within the model workflow, including LLM-based automation for model documentation generation and updating, intelligent data quality checks, and workflow assistance.

Integrate AI tooling into a controlled, auditable, production-grade environment, with appropriate testing, monitoring, and governance controls.

Stay current with developments in applied AI/ML and evaluate their applicability to risk technology use cases.

Work within a cross-functional agile team alongside quants, validators, data engineers, and program management.

Promote engineering best practices: code quality, testing, CI/CD, documentation, and secure, scalable design.

Mentor junior developers and contribute to technical design reviews.