Firm Risk Management Morgan Stanleys Firm Risk Management (FRM) Division is an exciting and rapidly growing space. We support Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.
Background on the Position
The role will reside within the Firm Risk Managements Risk Analytics area. Risk Analytics develops market risk analytics, credit risk analytics and scenario analytics models providing quantitative analysis on the Firms risk exposures. By developing mathematical and statistical models, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations.
Morgan Stanley is seeking a Senior AI/ML Model Developer (Vice President) in the Risk AI Application team, which is responsible for implementing Firm Risk Managements AI-strategy.
Primary 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
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
Desirable skills
• Experience managing or mentoring junior developers • Familiarity with financial models or risk analytics frameworks
What You Can Expect from Morgan Stanley
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. 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.
At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanleys goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. 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.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Morgan Stanley is a global financial services firm offering a complete range of financial services to a large and diversified group of clients and customers, including governments, corporations, institutions and individuals throughout the world. The talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity and excellence. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and to grow.