Company:
Marsh
Description:
Performs calculations and analysis on special retirement projects analyzing their impact on all of a client’s retirement plans, including assumption studies, plan design studies, plan terminations, early retirement window studies, post retiree medical and acquisition studies.

Provides recommendations and feedback to client based on results of analytics.

Checks and analyzes actuarial valuation results, including analysis of census data, liabilities, assets and reporting, and project management.

Assists Senior Consultant with day to day client contact and problem resolution.

Prepares package of client work for review by senior staff.

Escalates data or plan questions related to valuations and benefit calculations.

For U.S. colleagues only, click here to review additional responsibilities and our reasonable accommodations standards.
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, 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 professional development advantages of working together in the office. All Marsh colleagues are expected to b

📌 Lead Specialist (Noida)
🏢 Marsh Mclennan
📍 Noida