Marsh jobs, judged for you, free
Risk, insurance, investment, and consulting advice for businesses worldwide.
- Banking & Insurance
- New York, United States
- 10,000+ people
- Public
Newest at Marsh.
- AccountantUrbandale - Meredith · Full-time
- Services and Sales Operations Manager - ICGTianjin - International · Full-time
- Senior Executive AssistantSydney - Barangaroo · Full-time
- Graduate / Associate Technical Business Analyst (Innovation)Singapore - Marina View · Full-time
- Senior Insurance Broker (Buying Groups)Melbourne - 727 Collins; Sydney - Barangaroo; Brisbane - 111 Eagle · Full-time
- Finance Business PartnerMelbourne - 727 Collins; Sydney - Barangaroo · Full-time
- Client Services OfficerMelbourne - 727 Collins · Full-time
- Strategy and Operations Manager - KLKuala Lumpur - Corporate · Full-time
- Principal EngineerGurugram - Good Earth · Full-time
- Senior Executive – Psychometric Assessments Operations and ConfigurationsGurugram - Good Earth · Full-time
- Senior Executive / Assistant Manager - Corporate Operations (APAC)Gurugram - Good Earth · Full-time
- Revenue Billing SpecialistUrbandale - Meredith · Full-time
- Client Manager – Employee Health & BenefitsSioux Falls - Cherapa · Full-time
- Client Service Associate, Employee Health & BenefitsNew York - 350 Madison; Saddle Brook - Pehle · Full-time
- Technical Claims SpecialistMelbourne - 727 Collins · Full-time
- Investment Data AnalystMelbourne - 727 Collins; Sydney - Barangaroo · Full-time
- Team Manager - Business InsuranceFargo - Broadway · Full-time
- Senior Engagement Lead - Reinsurance Technical ConsultingPhiladelphia - South 17th · Full-time
- Health & Benefits ConsultantUrbandale - Meredith · Full-time
- Health & Benefits ConsultantKansas City - Grand Blvd · Full-time
And 1954 more open at Marsh.
See them all, freeThe company, in brief.
What they do
Marsh advises clients on risk, reinsurance and capital, people and investments, and management consulting. It works in 130 countries, has more than 95,000 colleagues, and earns over $27 billion a year. Its businesses include Mercer, Oliver Wyman, and Marsh Tech.
What they value
- A diverse and inclusive place to work.
- Flexible work, with time together in the office.
- Professional growth, interesting work, and supportive leaders.
- Work with talented colleagues to make new solutions.
- Impact on colleagues, clients, and communities.
- Use of AI and technology tools in daily work.
Where they hire
Most roles are in the United States, the United Kingdom, Australia, Germany, Mexico, and Colombia. India has 57 roles, in Gurugram, Noida, Mumbai, and Pune. Work is hybrid: staff are in the office or with clients at least three days a week. The postings read do not mention visa sponsorship.
Teams and roles
The board covers insurance broking, consulting, and the functions behind them.
- Insurance broking and client service: client executives, claims advisors, account representatives, and insurance brokers.
- Consulting at Oliver Wyman: data engineers, software engineers, and data scientists in the Data and Analytics team in Gurugram.
- Risk consulting: consultants and associate directors in New York, Mumbai, and Pune.
- Mercer: investment analysts, health and benefits consultants, compensation consultants, and actuaries.
- Marsh Tech: full-stack and generative AI engineers, quality engineers, and product managers in Cluj-Napoca.
- Finance and operations: treasury analysts, accountants, and payment operations specialists.
- Students: interns, trainees, and new graduates.
What they look for
Most postings ask for a university degree. Many give a range of years, from none to two years for analyst roles up to five years for managers. Strong written and spoken communication comes up in almost every posting, together with analytical thinking and attention to detail. Postings ask the candidate to manage many priorities and to work well in a team. Some roles want fluency with AI tools, and some outside English-speaking countries also need the local language. Oliver Wyman data roles ask for experience with big data, data pipelines, and machine learning. The postings do not describe the interview steps.
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