Company:
Marsh

Description:

Job Profile Description

Assists in basic quantitative analysis projects under the guidance of senior project team members in order to calculate risk exposure and potential loss that may occur due to natural and man-made catastrophes.

Gathers, organizes and reviews raw exposure data from the client for accuracy and validity, and to identify abnormalities (such as negative premiums, abnormal construction types, or deductible overages).

Performs basic analyses using existing catastrophe risk models to extract data sets that can be used to calculate the client’s risk exposure.

Assists senior project team members in preparing and formatting summaries, presentations and reports in order to summarize potential risk and loss results for the client.

Researches and summarizes industry publications and scientific papers of specific or regional perils in order to provide additional sources of information used for analyses and client reports.

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 workplace. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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

📌 Lead Specialist (Noida)
🏢 Marsh Mclennan
📍 Noida