
AI Engineer
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
Join the Risk AI Applications team at Morgan Stanley in Mumbai, India, where you will design, develop, and implement cutting-edge AI tools to enhance the efficiency of the firm's risk management processes and provide risk managers with novel insights. This role involves hands-on coding using Python and AI/ML models, with a particular focus on Natural Language Processing (NLP) and Large Language Models (LLMs) like GPT-4. You will collaborate closely with risk managers, model reviewers, and other internal and external stakeholders as part of a global team.
Responsibilities:
- Design, develop, and implement AI tools for risk management.
- Utilize Python and AI/ML models, with an emphasis on NLP and LLMs.
- Collaborate with cross-functional teams including risk managers and model reviewers.
- Contribute to a global team environment.
Required Skills:
- 1-4 years of relevant work experience in AI/ML, software development, or related fields.
- Graduate/post-graduate degree in a quantitative field such as Computer Science, Mathematics, Mathematical Finance, Physics, Statistics, Engineering, or equivalent.
- Proven track record of Python programming.
- Strong understanding of AI/ML concepts and familiarity with model development best practices.
- Good understanding of financial concepts and products.
- Strong interpersonal and communication skills, with the ability to communicate effectively with both specialist and non-technical stakeholders.
- Excellent command of English, both written and verbal.
- Familiarity with financial models is a plus.
Company
Morgan Stanley
Morgan Stanley is a leading global financial services firm that provides a wide range of investment banking, securities, investment management, and wealth management services. With a presence in 1,200...