Wealth Management Risk - Associate​/AVP

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 42 countries.

Morgan Stanley Wealth Management provides a range of wealth management products and services for individuals, businesses, and institutions. These services include brokerage and investment advisory, financial and wealth planning, credit and lending, cash management, annuities and insurance, stock plan administration and institutional consulting.

Morgan Stanley Wealth Management Risk group is responsible for overseeing the risk and control framework within the Wealth Management business unit. The group teams up with the various business units as well as the Firm’s second line risk teams to protect the Firm from exposure to various risks including operational, credit, investment, trading, model risk, and emerging risks from Generative AI adoption.

The position will reside within WM Model Control team. The Model Control team oversees the model inventory for all WM models as well as Bank models that impact Morgan Stanley Private Bank, National Association (“MSPBNA”), Morgan Stanley Bank National Association (“MSBNA”) (collectively, the “Banks”). In addition, the team is responsible for the governance and oversight of the division’s GenAI application and usages.

This role supports the testing, documentation, and certification of vendor models (third-party models purchased by Morgan Stanley), as well as risk assessment and review of Generative AI (GenAI) use cases within Wealth Management. This role is critical for ensuring model and GenAI usage are in compliance with Firm’s policies and regulatory requirements.

• Assist in documentation and certification of vendor models. Work with vendors and business to understand the model’s methodology. Design and execute testing plans in collaboration with vendors, business partners, and the Model Risk Management team.
• Analyze test results, identify potential issues and communicate findings to stakeholders.
• Develop ongoing monitoring plan perform ongoing monitoring for certified models.
• Support testing, evaluation and documentation of vendor service GenAI use cases.
• Address questions and remediate issues identified during model certification and GenAI use case review.
• Conduct risk assessment on GenAI use cases to ensure compliance with firm policies and regulatory expectations.
• Provide guidance to business on GenAI testing framework and monitoring process.
• Develop and maintain documentation and reporting for GenAI use case lifecycle management, including validation, monitoring, and issue escalation.

• Bachelor’s degree in Mathematics, Finance, Statistics, Computer Science, or a related quantitative field. Advanced degree (e.g., MS) preferred.
• 2+ years of experience in a financial institution, consulting firm, or relevant analytical function.
• Strong understanding of statistical modeling and quantitative analysis. Familiarity in GenAI technologies and use case development.
• Experience in risk management, ideally including hands‑on exposure to GenAI risk assessment, control, or oversight.
• Excellent technical writing and verbal communication skills.
• Strong attention to details, execution and project management skills; ability to influence and coordinate within cross‑functional teams.
• Proficiency in MS Excel, PowerPoint, Word, and SharePoint. Programming skills (e.g., Python, R) are a plus.
• Self‑starter and strong problem‑solving skills.

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…