Model Risk Management, Software & Infrastructure Lead
Morgan Stanley
London, United Kingdom
Python application development
Git and linux expertise
Data management and analytics
Prototype, evaluate, and iterate on new tools and workflows to optimize the end-to-end model validation lifecycle with a focus on efficiency, reproducibility, and control readiness
Job Summary
Prototype, evaluate, and iterate on new tools and workflows to optimize the end-to-end model validation lifecycle with a focus on efficiency, reproducibility, and control readiness.
Design, develop, automatically test, and maintain production quality Python applications that support validation execution, evidence capture, reporting, and independent testing activities.
Partner closely with stakeholders to gather requirements, translate pain points into scalable solutions, and deliver tools that improve day-to-day effectiveness and turnaround times.
Matching Summary
Prototype, evaluate, and iterate on new tools and workflows to optimize the end-to-end model validation lifecycle with a focus on efficiency, reproducibility, and control readiness.