What roles does Morgan Stanley hire for?

Morgan Stanley commonly hires for software engineer, financial analyst, data analyst, quantitative analyst, wealth management advisor.

Morgan Stanley Resume Guide: Tips, Keywords & Examples (2026)

Does Morgan Stanley sponsor H-1B visas?

Yes. Morgan Stanley is an active H1B sponsor. It filed 477 certified H1B labor condition applications in FY2026 (Oct 2025 - Mar 2026), at a median certified wage of $165,517. The most sponsored role is Software Developers. Certified filings are the legal minimum wage the employer attests to pay, so actual total pay is often higher.

See Morgan Stanley’s full H1B salary and sponsorship data

What It's Like to Work There

More collegial than some Wall Street peers. Strong emphasis on diversity and inclusion. Technology teams have reasonable hours compared to investment banking. Professional and structured.

Resume Tips for Morgan Stanley

Wealth management technology experience is highly relevant. If you've built client-facing financial tools, advisor platforms, or portfolio analytics, highlight them.

Show stability and progression. Morgan Stanley values career growth within organizations over frequent job changes.

Mention risk management, regulatory compliance, or audit experience if you have it. These are table stakes in financial services.

Highlight cross-functional collaboration. Their tech teams work closely with traders, advisors, and risk managers.

If you have experience modernizing legacy systems or migrating to cloud, call it out. Morgan Stanley is in the middle of a major tech transformation.

Include any client-facing experience. Even in technical roles, understanding the end user (financial advisors, traders) matters.

Hiring Process

Online application, then a HireVue or phone screen

Technical assessment (coding challenge or case study depending on role)

Super Day with 3-5 interviews including technical, behavioral, and manager rounds

Background and reference checks can take 2-3 weeks post-offer

Interview Style

Super Day format with a mix of technical and behavioral. Less algorithm-heavy than big tech but expect data structure and design questions. They'll probe your understanding of financial markets and your ability to work in a regulated environment.