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 innovation and client service, offering a supportive and inclusive environment with comprehensive employee benefits.
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 for data pipelines
Experience with Pandas or NumPy
Foundational data science knowledge
Agile methodologies
Collaborative team environment
Strong problem-solving skills
Knowledge of databases and SQL
Willingness to learn new technologies
Nice-to-have
Experience with Java or other OO languages
AI-driven development approaches
Key Requirements
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience