Python Engineer (Generative AI)

Morgan Stanley

18h

About The Position

We are seeking someone to join our team as a Generative AI Engineer within Finance Technology, developing Gen AI–driven solutions that support core Finance functions across the firm, including systems supporting PnL, Capital, Liquidity, Regulatory and Balance Sheet. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineer position, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, 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. What you’ll do in the role: Work as part of an engineering team developing Gen AI–driven solutions for Finance Technology. Design and develop a generative AI–driven chatbot tailored to core finance analytical functions, enabling it to handle a wide range of finance-related user queries (e.g., liquidity stress testing, balance sheet, collateral management, deposits, positions). Develop and enhance an agentic analysis solution to perform multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and python/pandas code generation and execution. Develop and refine a testing framework to assess the performance of AI agents used for financial analysis. Create, test, and fine-tune prompt-generation strategies to improve large language model performance and enhance the chatbot’s accuracy and relevance in financial contexts. Develop and maintain the infrastructure required to deploy and scale the chatbot, building on the firm’s AI infrastructure and services while meeting performance and security requirements. Integrate the chatbot with existing financial systems and databases to provide real-time insights and accurate information to users.

Requirements

• Deep hands-on expertise in Python, in a financial services environment is a plus.
• Exposure to, experience with, or strong interest in working on generative AI–driven solutions for Finance Technology as part of an engineering team.
• Exposure to, experience with, or interest in developing and enhancing agentic analysis for multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and python/pandas code generation and execution.
• Experience developing and refining a testing framework to assess performance, ideally in the context of AI-enabled financial analysis.
• Exposure to, experience with, or interest in creating, testing, and fine-tuning prompt-generation strategies to improve large language model performance and enhance accuracy and relevance in financial contexts.
• Exposure to, experience with, or interest in developing and maintaining infrastructure for deploying and scaling a chatbot on the firm’s AI infrastructure and services, meeting performance and security requirements.
• Exposure to, experience with, or interest in integrating AI solutions with existing financial systems and databases to provide real-time insights and accurate information to users.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Responsibilities

• Work as part of an engineering team developing Gen AI–driven solutions for Finance Technology.
• Design and develop a generative AI–driven chatbot tailored to core finance analytical functions, enabling it to handle a wide range of finance-related user queries (e.g., liquidity stress testing, balance sheet, collateral management, deposits, positions).
• Develop and enhance an agentic analysis solution to perform multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and python/pandas code generation and execution.
• Develop and refine a testing framework to assess the performance of AI agents used for financial analysis.
• Create, test, and fine-tune prompt-generation strategies to improve large language model performance and enhance the chatbot’s accuracy and relevance in financial contexts.
• Develop and maintain the infrastructure required to deploy and scale the chatbot, building on the firm’s AI infrastructure and services while meeting performance and security requirements.
• Integrate the chatbot with existing financial systems and databases to provide real-time insights and accurate information to users.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level