Reinsurance Placement Assistant

Marsh McLennan is hiring a Reinsurance Placement Assistant. It pays $53k-$87k a year and Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Marsh McLennan has 629 other open roles on Level.
Posted in the last few days.

AI in this role

Company:

Guy Carpenter

Description:

We are seeking a talented individual to join our team at Guy Carpenter. This role will be based in Edina, Minnesota. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role is responsible for coordinating all placement support activities for assigned accounts, contributing to the creation, review, and assessment of data and related exhibits while providing support to account team members both onsite and remotely. This role monitors key activities throughout the reinsurance placement process to ensure compliance with quality and regulatory guidelines, facilitating efficient pre-placement, placement, and post-placement services for Brokers and Clients.

We will count on you to:

Review and update annual renewal exhibits based on client data submitted during the placement/renewal process, providing analysis of trends and potential data issues.
Learn and navigate company systems for setting up/renewing programs, creating submissions, selecting approved markets, and managing quotes and authorizations.
Track the placement status of assigned accounts and follow up with brokers for necessary updates and information.
Communicate with clients and/or markets during the placement process as needed.
Draft and secure broker sign-off on renewal requests, marketing lists, placement updates, and post-placement communications using company templates and disclaimers.
Assist brokers by researching financial statements, product lines, geographic exposures, and current reinsurance program information.
Interface with other departments to provide client data for modeling, research claim or premium issues, and facilitate contract negotiation.
Manage contract documents by reviewing and ensuring all executed documents are obtained and tracked appropriately.

What you need to have:

3+ years of professional/business work experience.
Strong MS Excel skills, including data scrubbing, formulas, charts, graphs, VLOOKUP, MIN/MAX, COUNTIF, filters, pivot tables.
Excellent interpersonal skills for building and maintaining relationships with clients, reinsurers, and internal teams.
Strong verbal and written communication skills, with a keen attention to detail in a fast-paced environment.
Proactive in identifying and anticipating recurring tasks, while effectively prioritizing workload based on volume and urgency.

What makes you stand out:

2+ years of experience in a reinsurance intermediary firm, with a background in reinsurance underwriting support.
Bachelor's degree and/or relevant professional designations such as CPCU, CLU, ARM, or ARe.
Proficient in Power BI and PowerPoint, with a strong orientation towards procedural compliance.

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 impact for 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 $52,800 to $87,200.

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.

How we rate this

Reinsurance Placement Assistant at Marsh McLennan rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.