2027 Investment Management Off-cycle Internship Emerging Markets Debt (London)

About the role

January 2027, twelve-month off-cycle internship in Morgan Stanley Investment Management’s Emerging Markets Debt team in London. Working with portfolio managers, analysts, and research associates, interns support macroeconomic research, data analysis, news monitoring, stakeholder engagement, and investment-team coordination, gaining exposure to CEEMEA markets and the investment process.

Responsibilities

• Gather, evaluate, maintain, and distribute macroeconomic data from diverse sources for investment research.
• Prepare daily country and regional news summaries for portfolio managers.
• Participate in research and due diligence calls and meetings.
• Interpret data, create visualizations, and communicate relevant findings to the team.
• Maintain databases, coordinate research travel, and support portfolio-manager scheduling.
• Conduct economic, country, or sector research while supporting global teams across time zones.

Team and Training

• Work closely with portfolio managers, analysts, and research associates across the Emerging Markets Debt team.
• Focus on CEEMEA markets, covering Eastern Europe, Central Asia, the Middle East, and Africa.
• Receive on-the-job training while contributing to varied investment research projects.
• Gain exposure to government officials, central bankers, finance ministries, and multilateral institutions.
• Exceptional performers may be considered for full-time team roles after the internship.

Requirements

• Bachelor’s degree with a strong academic record; the opportunity targets recent graduates.
• Internship experience and limited professional work experience are expected.
• Demonstrated interest in emerging markets, politics, economic policy, and macroeconomics.
• Strong analytical, numerical, organizational, communication, and prioritization skills are required.
• Professional confidence with senior external stakeholders and ability to manage competing deadlines.
• Self-sufficiency in Python or another programming language, supported by a significant coding project, is required.

Technology and Additional Skills

• Experience with LLMs or AI models, including prompting, operation, and automation applications.
• Ability to identify process inefficiencies and propose technology-based improvements.
• A master’s degree is advantageous.
• Additional languages, particularly those used in the CEEMEA region, are advantageous.