Marsh McLennan

Marsh McLennan

Summer Intern, Undergraduate Finance Innovation & Technology (FIT)- New York, 2027

New York - 1166 · Intern · Internship

Sponsorship not specifiedDetected 2 days ago
PythonSpringSQLLinuxData AnalysisData ScienceStakeholder ManagementCommunicationCollaborationProblem SolvingAdaptability

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Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Marsh is a global professional services firm offering clients advice and solutions in the areas of risk, strategy, and people.
  • With over 95,000 colleagues worldwide and a market capitalization of $81 billion, we provide analysis and advice to clients in more than 130 countries.
  • Employees will gain hands-on experience working within one of our Finance groups.

Requirements

  • Ability to translate business problems into technical solutions using data, automation, and analytics
  • Agility, adaptability, and the ability to learn quickly in a fast-paced environment

Nice to have

  • Pursuing a Bachelor's degree in Business, Financial Operations, Management, Information Systems, Engineering, Data Science, Computer Science, or a related field, with an expected graduation date on or before Spring 2028
  • Interest in analytics, automation, modeling, and technology-enabled finance solutions
  • Familiarity with programming languages such as SQL, Python, or similar tools for data analysis and project work
  • Familiarity with operating systems such as Windows and Linux is a plus
  • Experience with data analysis, process automation, software development, project delivery, or PMO support is preferred
  • Ability to prepare status updates, track workstreams, and coordinate effectively with multiple stakeholders
  • Comfortable working in a fast-paced environment while maintaining appropriate governance, controls, and attention to execution

Compensation

  • With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective.

Company info

  • Description:
  • 2027 Summer Finance Innovation & Technology (FIT) Program
  • Are you interested in developing innovative solutions to complex finance issues?
  • Would you like to implement tools and technology to improve efficiency and accuracy in finance?
  • Are you a proactive problem-solver interested in partnering with cross-functional teams to deliver results and insights to key stakeholders?
  • The Finance Innovation & Technology (FIT) Program offers a challenging opportunity to students to develop technology solutions for finance.
  • In addition, Finance Innovation & Technology participants can utilize our online learning platform, Finance Academy, to enhance their technical and professional skills.
  • Intellectual curiosity and a strong interest in finance, technology, and innovation
  • Strong problem-solving skills with a detail-oriented and structured approach
  • Strong project coordination and delivery discipline in finance and technology transformation environments
  • Clear and timely communication tailored to different audiences, from project teams to senior stakeholders
  • Collaborative partnership across cross-functional teams to move workstreams forward and resolve issues effectively
  • Ability to support complex initiatives through strong project coordination, organization, and execution
  • Interest in using data, automation, and technology to improve finance processes and business outcomes
  • Sound problem-solving skills, strong judgment, and attention to detail in a structured environment
  • Strong interpersonal skills, with the ability to build relationships, communicate clearly, and manage expectations
  • This role offers the opportunity to contribute to meaningful transformation across Finance while building experience in project delivery, stakeholder management, and technology-enabled innovation.
  • The applicable hourly rate for this role is $30.

This listing is sourced directly from Marsh McLennan's careers page and normalized into a canonical job model.