Design and implement a modern data and forecasting platform that powers critical Firm functions, leveraging Python pipelines, robust schemas, and secure APIs
Job Summary
Design and implement a modern data and forecasting platform that powers critical Firm functions, leveraging Python pipelines, robust schemas, and secure APIs.
Apply AI-driven techniques and agentic approaches to accelerate development, automate repetitive tasks, and enhance the intelligence of forecasting workflows.
Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Matching Summary
Design and implement a modern data and forecasting platform that powers critical Firm functions, leveraging Python pipelines, robust schemas, and secure APIs.
Skills & Requirements
Must-have
Strong Python skills
Data pipelines and orchestration
Structured data and SQL
Software development lifecycle
Agile methodologies
Collaborative team environment
Nice-to-have
AI-driven development approaches
Java or other object-oriented languages
Agentic AI techniques
Numerical consistency of model results
Key Requirements
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience