E*TRADE from Morgan Stanley→
AI/ML Model Development Analyst (Open) at E*TRADE from… · New York
Entry LevelHybridFull-timeNew York, New York, United States of America$75k–$95k/yr
Skills
python programminggit-based version controlnatural language processinglarge language modelsmachine learningsoftware engineeringunit testingcontinuous integrationai/ml model developmentfinancial conceptsbusiness acumenstrategic mindset
Job Description
Summary: E*TRADE from Morgan Stanley is focused on supporting efficient risk-adjusted returns through its Firm Risk Management division. They are seeking an AI/ML Model Development Analyst to design and develop AI applications that enhance risk management workflows using Python and machine learning techniques.
Responsibilities:
- Design and develop Python-based AI applications, utilizing Natural Language Processing (NLP) pipelines, Large Language Models (LLMs), and other machine learning techniques, to support risk management workflows
- Apply software-engineering techniques to build efficient, reliable, and maintainable solutions
- Contribute to model and system-design decisions, ensuring the solutions are technically sound and appropriate for risk management use cases
- Write clean, well-structured, and well-tested Python code
- Follow standard development practices such as GitHub-based version control, code reviews, unit testing, and continuous integration
- Deploy solutions to production environments, not just development or prototype settings
- Collaborate with Firm Risk Management stakeholders to understand requirements and deliver AI solutions that meet their needs
Required Qualifications:
- Graduate degree in Computer Science, Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline
- Strong Python programming skills, including familiarity with Git-based versioning and collaborative coding workflows
- Demonstrated interest in AI/ML concepts
- Excellent interpersonal and communication skills in both written and verbal English, with the ability to effectively communicate with technical and non-technical stakeholders
- Strategic mindset with strong business acumen and creative problem-solving skills
Preferred Qualifications:
- Experience developing and deploying AI/ML or analytical solutions in production environments
- Exposure to modern development best practices, including unit testing and continuous integration/continuous deployment (CI/CD)
- Familiarity with financial concepts, models, and products
Required Skills: Python programming, Git-based version control, Natural Language Processing, Large Language Models, Machine Learning, Software engineering, Unit testing, Continuous integration, AI/ML model development, Financial concepts, Business acumen, Strategic mindset
Benefits: Commission earnings, Incentive compensation, Discretionary bonuses, Other short and long-term incentive packages, Other Morgan Stanley sponsored benefit programs
Benefits
Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs