Broker & Distribution Management Analyst

Job Description

Broker & Distribution Management Analyst – Early Talent Program 2027 | Swiss Re

The Tone:
This is an early career role within Swiss Re, a global organization with over 15,000 employees. Swiss Re is a leading provider of reinsurance and insurance, dedicated to building a more resilient world by anticipating and managing a wide variety of risks. This role is part of a graduate program designed to develop intellectually curious talent who will gain hands-on experience in reinsurance and commercial insurance. You will contribute to strengthening broker relationships and achieving sustainable, profitable growth across the U.S. Market Unit.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: US-based
• Pay: $70000 yearly
• Team: Corporate Solutions Broker & Distribution Management within the Distribution & Client Management team
• Mission: Help strengthen broker relationships, support commercial initiatives, and identify opportunities that contribute to sustainable, profitable growth across the U.S. Market Unit.
• Tech Stack: Excel, analytical tools, reporting, visualization, customer relationship management, business intelligence tools, AI, emerging technologies

What You’ll Actually Do
• Pipeline Management: Support pipeline development, opportunity management, and performance reporting across broker partners, regions, and lines of business.
• Market Insights: Assist with gathering broker feedback, pipeline activity, market trends, survey results, and competitive intelligence to identify growth opportunities and areas for improvement.
• Commercial Initiatives: Contribute to broker engagement strategies, distribution planning, and commercial initiatives that support business development objectives.
• Relationship Support: Support account planning, customer engagement activities, and strategic relationship management alongside National Broker Leaders and Regional Distribution Managers.
• Data Application: Apply data, analytical tools, and emerging technologies to enhance insights, improve decision-making, and support business outcomes.

The Must-Haves
• Background: Early career talent with a bachelor’s degree completed or nearing completion; all majors are welcome, and relevant master’s or doctoral degrees may be considered.
• Experience: No more than three years of professional experience.
• Skills: Analytical thinking, complex problem-solving, building strong relationships, adapting communication style for collaboration, clear communication with technical and non-technical audiences, taking ownership, demonstrating integrity, sound judgment, accountability, and attention to detail.
• Bonus: Demonstrated academic rigor (minimum GPA of 3.0 expected); familiarity with reporting, visualization, customer relationship management, or business intelligence tools; curiosity about AI and emerging technologies.