About this Senior Specialist - Research role at Marsh
Company:
MarshDescription:
We are seeking a talented individual to join our Research team, part of our risk, reinsurance and capital business at Marsh. This role will be based in Pune. 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:
- Assist senior leadership and project teams with day-to-day tasks to help set and deliver team priorities and initiatives under close guidance.
- Support advisory engagements by preparing background research, data collection, and draft analyses for specialty insurance areas
- Contribute to the delivery of high‑impact projects by producing clear data summaries, slide material, and basic quantitative inputs (spreadsheets, simple models, charts), and by helping to quality‑check outputs.
- Help incubate research and analytics efforts: gather datasets, run preliminary analyses, maintain benchmarking spreadsheets and contribute ideas for innovation and new capability.
- Support project management tasks such as tracking timelines, preparing progress updates, coordinating meeting notes and follow‑ups to ensure timely delivery and quality.
- Build and maintain stakeholder communications by preparing client-ready materials, drafting emails, and responding to routine client queries under supervision.
What you need to have:
- Masters / Bachelors in Economics or Masters in Business Administration (MBA) / sustainability, corporate responsibility, or finance, environmental science, business administration, sustainability, economics, or related field.
- 4 to 6 years of experience in strategy advisory, research (quantitative and qualitative | secondary) experience, at a leading professional services / consulting firm / market intelligence / research firm
- Experience in consulting projects and conducting independent secondary research strong hands-on experience in using Generative AI as part of day to day task effectively
- Strong analytical and numerical skills, confident with Excel; basic exposure to modelling or analytics tools is desirable.
Why join our team:
- We help you be your best through professional development opportunities, interesting and rewarding work
- We foster a vibrant and inclusive culture where you can work with talented colleagues around the world
- Our scale enables us to provide a range of career opportunities, as well as benefits, belonging and purpose