Lead AI/ML Model Developper

Morgan Stanley • New York, NY

2d • $95,000 - $165,000 • Hybrid

About The Position

Manage and mentor a small development team, providing technical direction and day-to-day support > Lead development of Python-based AI applications, including NLP pipelines, LLM tools, and other machine learning models, used in 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 > Own and manage relationships with Risk Management stakeholders to understand requirements and design AI solutions that meet their needs Experience > 5+ years of experience in AI/ML, software engineering, or related fields > 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 > Experience developing and deploying AI/ML or analytical solutions in production environments > Understanding of financial concepts and products, or willingness to learn them > Strong communication skills and the ability to work with technical and non-technical stakeholders > Familiarity with financial models or risk analytics frameworks You will have the chance to: > Work on AI applications that directly support the Firm's Risk Management processes > Collaborate with global teams across Risk Analytics, Technology, and Strats > Gain exposure to quantitative risk models, broader Risk Management practices, and the operations of a global investment bank. Firm Risk Management values diversity and is committed to providing a supportive and inclusive workplace for all employees. This role is hybrid and currently requires in office attendance 3 days/week. The in office requirement is subject to change at any time. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $95,000 and $165,000 year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

• 5+ years of experience in AI/ML, software engineering, or related fields
• 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
• Experience developing and deploying AI/ML or analytical solutions in production environments
• Understanding of financial concepts and products, or willingness to learn them
• Strong communication skills and the ability to work with technical and non-technical stakeholders
• Familiarity with financial models or risk analytics frameworks

Responsibilities

• Manage and mentor a small development team, providing technical direction and day-to-day support
• Lead development of Python-based AI applications, including NLP pipelines, LLM tools, and other machine learning models, used in 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
• Own and manage relationships with Risk Management stakeholders to understand requirements and design AI solutions that meet their needs

What This Job Offers

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