Jack Morton Worldwide

Event Planner - Financial Services

New York, New York, United States · Full-time

Sponsorship not specifiedDetected 2 days ago
LogisticsResearchCommunicationProblem SolvingOrganizational Skills

About the role

  • Come shape the future of brand experience.
  • We exist to redefine what experiential can achieve, helping clients unlock the full value of experiences.
  • Where ownership is expected, egos are left at the door, and the work reflects the people behind it.

Responsibilities

  • Support the planning, coordination, and execution of client-hosted events, ensuring smooth operations across all phases
  • Assist in managing event elements including venue research, logistics coordination, vendor communication, and production support.
  • Develop and maintain detailed timelines, run-of-show documents, and task trackers to support successful delivery.
  • Client & Stakeholder Support
  • Support communication between the agency team and client stakeholders across assigned projects.
  • Collaborate with internal teams and external partners to ensure alignment and timely execution.
  • Build an understanding of client objectives and contribute to delivering against those goals.
  • Support execution of ancillary experiences including dinners, receptions, and hospitality moments.
  • Support budget tracking and reconciliation, ensuring accuracy and organization across project spend.
  • Assist in sourcing vendors, gathering proposals, and coordinating logistics with partners such as venues, catering, and AV.

Requirements

  • 3-7 years of experience in high-profile event production, preferably within financial services.
  • Exceptional verbal and written communication skills -must be clear, concise, and professional in all interactions.

Nice to have

  • Experience working with C-Suite executives or high-net-worth individuals preferred.

Benefits

  • Ability to work flexible hours, including evenings, and weekends

This listing is sourced directly from Jack Morton Worldwide's careers page and normalized into a canonical job model.