Firm Risk Management:

Firm Risk Management (FRM) supports 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 Management's Risk Analytics area. Risk Analytics develops market risk, credit risk, and scenario analytics models, providing quantitative analysis of the Firm's 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 an AI/ML Model Developer (Analyst) in the Risk AI Application team, which is responsible for implementing Firm Risk Management's AI strategy.

Primary 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 Experience
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.
Desirable skills
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

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.

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 $75,000 and $95,000 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 Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.