SVP, Actuarial Advisor
Oliver Wyman
SVP, Actuarial AdvisorGuy Carpenter (GC) is seeking an SVP Actuarial Advisor who will serve as a strategic partner to brokers and clients, collaboratively identifying and delivering effective solutions to client challenges. The SVP Actuary will work closely with broking teams to ensure optimal use of analytical resources, address client needs, and enhance the value GC Analytics brings to client relationships. As a senior leader, you will engage directly with clients to discuss risks, concerns, and potential solutions, leveraging your expertise and broad reinsurance market knowledge—even in the absence of a full actuarial data review. By partnering with brokers, you will actively contribute to problem-solving discussions, providing insights that extend beyond traditional actuarial analysis to drive meaningful client outcomes. This is a hybrid role (3 days a week in office, 2 days a week remote).We will count on you to:Act independently to propose actuarial services and valuations to clients, addressing their current and future needs to help mitigate risk.Modify complex specialty models and propose value-added models to brokers and clients to assess risk exposure, forecast risks, losses, and financial impact.Expand client services beyond reinsurance transactions to drive business development.Direct a team to build complex specialty models to assess risk and develop pricing strategies for a range of risk exposures.Advise senior management regularly on issues and progress to ensure smooth reinsurance transaction processes.Communicate strategically with brokers, reinsurers, and clients to anticipate client needs and promote the use of reinsurance actuarial services.What you need to have:Minimum ACAS designation, preferably FCAS, with at least 7-10 years of industry experience.Bachelor's degree in Actuarial Science, Economics, Mathematics, Statistics, or a related field.Experience in pricing, valuation, and/or capital modeling.Strong proficiency in Microsoft Office suite.Visualization skills using Power BI, Tableau, or similar tools.Excellent verbal and written communication skills.Coding experience in programming languages such as Alteryx, R, Python, VBA, or SQL.Comfortable working collaboratively in interactive teams with brokers and clients.Ability to lead day-to-day project activities and make decisions to keep projects on track.Strong problem-solving skills.What makes you stand out:Experience in reinsurance.Experience in Financial Lines such as Errors & Omissions (E&O) and Directors & Officers (D&O) insurance.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 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 View email address on click.appcast.io. 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.
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