Level

Morgan Stanley

Model Oversight Associate

AI in this role

We’re seeking someone to join our team as a Model Oversight Associate.

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) or internally developed models by Financial Advisors, 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. 

What you’ll do in the role:

  • Work with vendors and business to understand the model’s methodology. Design and execute testing plans in collaboration with vendors, business partners, and the Firmwide Model Risk Management team. Document models and relevant testing results. 

  • Analyze test results, identify potential issues and communicate findings to stakeholders 

  • Develop ongoing monitoring plan & perform ongoing monitoring for certified/approved models. 

  • Support testing, evaluation and documentation of vendor service or internal GenAI use cases and Agents 

  • Address questions and remediate issues identified during model certification and GenAI use case/Agent reviews 

  • 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 

What you’ll bring to the role: 

  • Bachelor’s degree in Mathematics, Physics, Finance, Statistics, Econometrics, Computer Science, or a related quantitative field. Advanced degree (e.g., MSc) is preferred 

  • 2+ years of experience in a financial institution, consulting firm, or relevant analytical function 

  • Strong understanding of statistical modeling and quantitative analysis. Familiarity with 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 

#LI-NB1 #BPDBA #LI-hybrid

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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.

How we rate this

Model Oversight Associate at Morgan Stanley rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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