Finance Intern

AI in this role

Company:

Marsh

Description:

We are seeking a talented individual to join our Finance Controllership team. This role will be based in Shanghai. This is a hybrid role that has a requirement of working at least three days a week in the office.

We will count on you to:

Responsible for preparing invoice lists; printing and scanning invoices; registering and deducting VAT special invoices
Assisted in checking relevant reimbursement supporting documents; filed and organized reimbursement lists; arranged and bound accounting vouchers
Recorded and reconciled the bank work journal ledger
Organized the input tax deduction list
Scanned documents for filing
Enters issues and tasks to be completed by team and follows up with responsible individuals; escalates issues when appropriate.

What you need to have:

Accounting, finance or related major
Computer literacy, including Excel, Word, PowerPoint
Detail-oriented, and committed to the internship

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 embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of 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. In the recruitment process, Marsh does not restrict a position to a particular gender, does not inquire or investigate the marital or maternal status of female candidates, does not impose any limitations on marriage or childbirth, does not use marital or maternal status of a condition for hiring, and does not raise the qualification standard for female candidates. When you apply for a position with us, we must obtain Personal Data, which is any data that can directly or indirectly lead to the identification of a specific individual, such as your name, contact information, employment history, education information, work skills, and licensure and certifications (if applicable). We also collect any other information you have provided in your CV, covering letter, application form, or during an interview (if applicable). Marsh limits the Personal Data that it collects to that which is relevant and proportionate for the intended purpose. Where necessary and permitted or required by law, we may collect Personal Data deemed sensitive under applicable law (for example, ethnicity, fitness to work or criminal convictions information). Marsh collects Personal Data directly from you and, depending on the circumstances and the type of role applied for, recruitment agencies, background check providers, your named referees and occupational health providers. Marsh retains Personal Data consistent with applicable local law and business practices Please make sure you read through and fully understand our “Job Applicant Data Privacy Statement” before you submit your application.

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

Finance Intern at Marsh McLennan rates 36 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.