Return To Work - Central Review Risk Officer- Wealth Management Client Segment | South Jordan, UT

Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Return to Work Program – South Jordan

At Morgan Stanley, we recognize the immense potential in experienced professionals who have taken a career break and are now eager to return to the workforce. We value the life skills and experiences you've gained outside of work and recognize the significant contributions you can bring to our organization.

You don’t have to have a background in financial services to have a career with us. We welcome highly motivated candidates from a diverse range of industries and skills. We strive to create a spirit of inclusion by bringing together dedicated professionals with diverse backgrounds, talents, perspectives, cultural identities, and experiences.

Our South Jordan Return to Work program will run from January 18, 2027 through May 7, 2027 in our South Jordan office. This 16-week paid program places participants in roles that align with their existing expertise while also broadening their horizons through comprehensive training, mentorship, and professional development.

Central Review Risk Officer- Wealth Management Client Segment – Return to Work Candidates

This role is designed for a high-performing risk professional seeking to operate at the intersection of Wealth Management, advanced analytics, and next-generation risk oversight.

Join our Wealth Management Client Segment Risk team—an in-business risk function with direct impact on the integrity of The Firm. Within this team, the Central Review Unit (CRU) serves as a centralized hub of experienced Risk Officers responsible for overseeing and continuously evolving a sophisticated control framework focused on sales practices, suitability, and regulatory compliance.

You will play a critical role in shaping how risk is identified, analyzed, and managed—leveraging data, technology, and artificial intelligence to enhance surveillance capabilities and drive smarter, more proactive risk outcomes.

Key Responsibilities

• Lead the analysis and oversight of core risk controls, including Trade Supervision, Advisory Account activity, and Suitability Reviews
• Serve as a trusted partner to Field Risk leadership, influencing outcomes and driving alignment across the business
• Own relationships with assigned Field Branches, leading recurring risk discussions and providing strategic guidance
• Deliver high-impact reporting and trend analysis, translating complex data into clear, actionable insights
• Identify opportunities to modernize and optimize the control framework, including the integration of AI, automation, and advanced analytics

Qualifications

• Deep expertise in financial markets, securities, and wealth management products, with the ability to assess risk across complex scenarios
• Demonstrated aptitude for artificial intelligence and data-driven risk management, including the ability to apply analytics to enhance surveillance and controls
• Proven track record of strengthening or transforming risk and control frameworks
• Strong investigative and critical thinking skills, with the ability to independently drive issues from identification through resolution
• Sophisticated understanding of SEC, FINRA, and regulatory expectations within Wealth Management
• Advanced ability to identify trends, root causes, and emerging risks, and to deliver practical, scalable solutions
• Exceptional organizational and prioritization skills, with the ability to manage competing demands without compromising quality
• Strategic mindset with the ability to evaluate broader risk implications and anticipate downstream impacts
• Advanced technical proficiency, including Excel and data analytics tools

Experience

• 3-5 years of experience in risk management, compliance, or supervisory functions within financial services
• Experience with Alternative Investments and complex