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You will be updated with latest job alerts via email$ 124176 - 148500
1 Vacancy
Marsh USA LLC is seeking candidates for the following position based in the Los Angeles CA office. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with company policy.
Product Manager Analytics Solutions
We will count on you to:
Work with Brokers Advisors Consultants Placement Specialists and Analytics team members to build new analytics solutions and refine existing digital products. Handle the product development cycle from needs analysis to product launch. Analyze client and colleague needs to identify product requirements. Summarize and communicate needs to align all internal teams on product vision and roadmap. Perform competitive analysis to develop product requirements including pricing and positioning of products. Coordinate activities across internal and external parties to develop new products. Work with Brokerage and Advisory teams to introduce new product offerings to the marketplace. Monitor product postlaunch to evaluate ability to satisfy customer needs. Conduct a continuous improvement process to enhance and improve solutions. Establish utilization targets and monitor utilization rate. Identify and process utilization improvement initiatives to ensure solution value is delivered to both clients and colleagues.
What you need to have:
Must have Bachelors degree or foreign equivalent in Mathematics Statistics Actuarial Science or a related field plus four 4 years of experience in the job offered or in a related occupation. Four 4 years of experience must include: Analyzing Property Casualty Financial and/or Professional Liability losses on a combined crossline basis with stochastic risk simulation software; Utilizing S&P Capital IQ Office Plugin software to compile public company financials databases; and Building insurance program efficiency evaluation dashboards in PowerPoint. One 1 year of experience must include: Building and iterating a Risk Appetite digital product prototype; Conducting user research and usability tests for digital products; Collaborating with software engineers in building a web solution in JavaScript; Maintaining Risk Tolerance algorithms in Python; Developing and maintaining Visual Basic Application scripts for Risk Analytics; and Navigating S&P Capital IQ API solutions to facilitate data architecture construction.
The applicable base salary range for this role is $124176 to $148500 per year.
The base pay offered will be determined on factors such as experience skills training location certifications and education. Decisions will be determined on a casebycase basis. In addition to the base salary this position may be eligible for performancebased 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.
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Marsh a business of Marsh McLennan (NYSE: MMC) is the worlds top insurance broker and risk advisor. Marsh McLennan is a global leader in risk strategy and people advising clients in 130 countries across four businesses: Marsh Guy Carpenter Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90000 colleagues Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information visit marsh or follow on LinkedIn and X.Marsh McLennan 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 contactingRequired Experience:
IC
Full-Time