2027 Internship – GWM International Germany & Austria – Zurich

About the role

Six-month paid internship in UBS Global Wealth Management’s Germany and Austria Client Service Team in Zurich. The role supports Client Advisors and Relationship Managers serving ultra-high-net-worth clients, covering client lifecycle activities, stakeholder coordination, regulatory requirements, professional development, mentoring, and exposure to senior leaders.

Responsibilities

• Support Client Advisors and Relationship Managers with client lifecycle activities from onboarding through ongoing servicing.
• Coordinate execution across stakeholders, ensuring timely completion of client requests and regulatory requirements.
• Build knowledge of the financial industry, business operations, culture, and strategy.
• Develop professional networks through mentors, business contacts, and educational events led by senior leaders.

Team

• Join the Germany and Austria Client Service Team within Global Wealth Management, based in Zurich.
• Support advice-based solutions for ultra-high-net-worth and high-net-worth individuals and families.
• Work alongside experienced colleagues managing, preserving, and growing client wealth.

Program Details

• The paid internship lasts six months and starts on 1 February 2027.
• Work with experts while participating in day-to-day business operations and learning about clients and the firm.
• Receive mentoring and opportunities to develop skills and build contacts with senior team members.
• Successful interns may receive an offer to join the Graduate Talent Program after completing their studies.

Requirements

• Completed at least four semesters of a bachelor’s degree, with graduation within the past 12 months.
• Hold a bachelor’s or master’s degree and have a minimum GPA of 4.5 under the Swiss grading system.
• Demonstrate hard-working, trustworthy, dedicated, and collaborative values.
• Show strategic thinking, strong communication skills, curiosity, and motivation to work under tight deadlines.
• Have an interest in the financial industry; all academic majors are welcome.
• Evidence experimental and responsible use of AI to improve outcomes and efficiency.