Actuarial Associate

Marsh McLennan•New York, NY

1d•$68,800 - $113,600•Hybrid

About The Position

This role supports reinsurance actuarial services by working with brokers, performing risk analyses, guiding junior team members, and maintaining key client and market relationships. We will count on you to communicate directly with brokers regarding client needs and advise on reinsurance programs based on risk tolerance and industry trends. You will perform calculations using specialty models and client data to assess risk exposures and project outcomes. This role involves reviewing client data for reasonableness, loading data into predictive models, running analyses, and sharing results with brokers to support the reinsurance transaction process. You will also direct junior team members in analyzing industry and regulatory developments that may affect loss liabilities and client outcomes, and independently build more complex MetaRisk analyses and use the model to explain assumptions and results. Additionally, you will establish and maintain relationships with brokers, reinsurers, and clients to support new business development in reinsurance actuarial services.

Requirements

Bachelor’s degree in Actuarial Science, Data Science, Economics, Accounting, Physics, or a related field.
Curious, proactive, and growth-oriented mindset with the ability to lead internal initiatives and research projects to completion.
Superior communication and presentation skills, with the ability to translate complex technical concepts into clear, understandable terms for brokers and clients.
Collaborative, team-oriented, and proficient in MS Excel and other Microsoft Office products.

Nice To Haves

1+ year of experience or internship in insurance or reinsurance.
Actuarial exams and familiarity with R, Python, SQL, Alteryx, or Power BI.

Responsibilities

Communicates directly with brokers regarding client needs and advises on reinsurance programs based on risk tolerance and industry trends.
Performs calculations using specialty models and client data to assess risk exposures and project outcomes.
Reviews client data for reasonableness, loads data into predictive models, runs analyses, and shares results with brokers to support the reinsurance transaction process.
Directs junior team members in analyzing industry and regulatory developments that may affect loss liabilities and client outcomes.
Independently builds more complex MetaRisk analyses and uses the model to explain assumptions and results.
Establishes and maintains relationships with brokers, reinsurers, and clients to support new business development in reinsurance actuarial services.