Actuary - Reinsurance
Marsh & McLennan Companies, Inc.
Toronto, ON
Position overview: The main responsibility is to organize, clean and analyse property and casualty insurance data to help in the delivering of actuarial and financial modeling consulting services to colleagues and clients. Independently perform medium to high complexity mathematical and actuarial calculations to work with Brokers and Senior Analytical Staff to provide solutions to client needs. Responsibilities include: Model the probability distributions of the gross/ceded/net underwriting results of an insurance company client based on an actuarial analysis of frequency and severity focusing on a large losses using Global Analytics proprietary software. Analyze how the distribution of results and relevant risk measures change as a result of application of various proposed reinsurance alternatives.

Utilize cost/benefit analysis to advise brokers and clients "optimal" reinsurance programs based on risk tolerance level. Evaluate historical experience of treaties for use in negotiation of renewals and commutations. Respond to client queries and concerns, resolving issues promptly. Establish and maintain strong relationships with clients and colleagues.

Document all external correspondence and telephone conversations in accordance with GC procedures, including where appropriate, GC Professional Standards guidelines minimizing the potential for errors and omissions. Update management on issues, progress, etc., regularly and upon request. Perform other job-related duties as assigned Requirements: Bachelor’s degree in Actuarial Science or related quantitative field such as Mathematics or Statistics. 3 - 6 years of relevant property and casualty insurance/reinsurance experience performing Actuarial analysis.

Completed 3 – 4 Casualty Actuarial Society (CAS) exams. Understand the reinsurance pricing methods (experience and exposure rating) and know when it is appropriate to use these methods. Good technical knowledge in reinsurance terms and conditions, and simulation modeling. Excellent interpersonal skills for establishing and maintaining good client and internal relationships.

Strong ability to assist manager in prioritizing workload according to volume, urgency, etc. Strong ability to work on multiple projects at the same time. Strong ability to be organized and pay attention to detail. Strong computer skills for using Microsoft Office (Excel, Word, PowerPoint, Access) and Outlook.

Strong ability to maintain compliance with professional standards, where applicable, as well as company-wide quality initiatives. Strong ability to work with other internal colleagues to identify client needs in order to deliver solutions which meet or exceed client expectations. Strong ability to manage projects and address issues proactively. Strong ability to be open and flexible to changes in the organization and marketplace.

Strong oral & written communication skill. Availability to travel internationally and domestically. Guy Carpenter & Company, LLC, a leading global risk and reinsurance specialist, has over a 90-year history of providing integrated solutions to the (re)insurance industry. With over 2,300 professionals in more than 50 offices around the world, Guy Carpenter delivers a powerful combination of broking expertise, strategic advisory services and industry-leading analytics to help our clients achieve profitable growth.

As our clients’ most trusted and valuable reinsurance broker and strategic advisor, we leverage our intellectual capital to anticipate and solve for a range of emerging strategic business challenges and opportunities. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. Visit www.guycarpenter.com for more information and follow us on LinkedIn and Twitter @GuyCarpenter Guy Carpenter & Company, LLC and its separately incorporated operating entities around the world are part of Marsh & McLennan Companies, a publicly held company (ticker symbol: MMC). R_064833-en R_064833