Senior Actuarial Associate

Company:

Guy Carpenter

Description:

We are seeking a talented individual to join our team at Guy Carpenter. This role is available in several locations and is a hybrid position that requires at least three days in the office each week.

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:

• 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.

What you need to have:

• Bachelor’s degree in Actuarial Science, Data Science, Economics, Accounting, Physics, or a related field.

• 2+ years of actuarial or related experience in underwriting, brokerage, or P&C insurance, with at least one actuarial exam completed.

• Curious, proactive, and growth-oriented, with the ability to lead internal initiatives and research projects to completion.

• Strong communication and presentation skills, with the ability to explain complex technical concepts clearly to brokers and clients.

• Collaborative, team-oriented, and proficient in MS Excel and other Microsoft Office products.

What makes you stand out:

• 1+ year of experience or internship in insurance or reinsurance.

• Progress towards CAS track.

• Familiarity with R, Python, SQL, Alteryx, or Power BI.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.

• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients and communities.

• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

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, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

The applicable base salary range for this role is $84,700 to $155,400.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.