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 a global leader in financial services, known for evolving and innovating to better serve clients and communities.
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
SQL query languages
Agile methodologies
Collaborative team environment
Version control and CI/CD
Nice-to-have
AI-driven development approaches
Java or other object-oriented languages
Agentic AI
Foundational data science knowledge
Key Requirements
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience