Intern - Risk Management

Marsh McLennan is hiring an Intern - Risk Management. Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as an internship.
Marsh McLennan has 651 other open roles on Level.
Posted in the last few days.

AI in this role

Company:

Marsh

Description:

We are seeking a talented individual to join our Risk Management team, part of our Penang business at Marsh. This role will be based in our Plaza MWE, George Town, Penang. This is a hybrid role that has a requirement of working as per respective team's arrangement.

Intern - Risk Management

We will count on you to:

Support the team in learning about different types of risks and how to offer clients customized risk management solutions.
Assist experienced team members in servicing current clients and exploring new business opportunities.
Analyze reports to gather useful information and provide insights to clients and colleagues.
Build positive working relationships with clients and colleagues.
Creating presentations for clients and potential prospects.
Contribute to projects and team initiatives as assigned.

What you need to have:

Active students in any field of study from Bachelor’s degree or Diploma.
Internship duration minimum of 10 weeks or depending on University's/Institute's requirements
Strong analytical thinking and problem-solving skills.
Good verbal and written English communication skills.
Positive attitude, eagerness to learn, and a team player mindset.
Proficient in using MS Office Application, especially Microsoft Excel and PowerPoint

What makes you stand out:

Curiosity and enthusiasm to learn and explore new ideas.
Adaptability and willingness to thrive in a dynamic environment.
Self-motivated with the ability to work independently.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. 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. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

How we rate this

Intern - Risk Management at Marsh McLennan rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.