(San Francisco Area/Hoboken/London Position)
Understand the science. Know the magic. Connect the two. At its core, RMS starts with science and ends with technology, bringing both together in unconventional ways. Our job is to alleviate the world's risk problemsfrom the everyday to the epic, from the mundane to the monumental. And, we approach risk management in a way that only RMS canbreaking the rules, redefining the medium, and ultimately, letting the science and technology speak for itself. At RMS, we have big ideas around big data. We seek candidates that rise to challenges with the curiosity and mental dexterity to analyze and solve complex problems. We look for professionals who will bring a fresh perspective and a desire to make a huge impact. Let us know if this is your dream job.
RMS is looking for an experienced product manager who is passionate about predictive, statistical and/or financial models and wants to build innovative software applications that the deliver the value of the analytics from these models to the market. As an Application Product Manager, you will join a growing team of product managers who define the analytic and transactional application modules of RMS" NextGen suite of applications. Your contributions will have a substantial impact on RMS" roadmaps for NextGen suite of capabilities.
Synthesize market requirements into detailed product requirements and functional specifications that define the analytic and transactional application modules, innovating and leveraging state-of-the-art business intelligence, data integration, information visualization, and analytics. Serve as customer advocate and develop into a subject matter expert in the catastrophe risk analytics domain, properly representing user requirements Throughout the software development lifecycle, guide UX design and development teams to deliver a high-quality, intuitive, and elegant user experience Develop a deep understanding of client needs, translating business needs into prioritized product requirements and own the application roadmap for the modules you will lead. Guide cross-functional teams made up of people from software development, QA, product management, modeling, and internal/external design panels through multi-release feature design and delivery. Guide and train senior support and consulting resources on application capabilities.
6+ years of experience in a product management, business analyst or consulting role, involving analytic application design in the predictive/financial modeling and/or analytics space. Experience with new product development and experience in all facets of the software development lifecycle Track record of collaboration with software development, QA and marketing teams to deliver successful, enterprise class commercial products Significant exposure to portfolio management within insurance or financial services a strong plus BA/BS degree required, MBA is a plus. Ability to travel (15-20%).
Risk Management Solutions (RMS) is the world's leading provider of analytics and decision science solutions for the quantification and management of catastrophic risks throughout the world. The models and consulting services of RMS are used by hundreds of insurance and reinsurance companies, hedge funds, corporations, and governments to assess a wide-range of natural and man-made perils such as - earthquake, flood, hurricane, windstorm, wild fire, disease pandemic. RMS continues to grow and diversify in order to service and meet the requirement of its clients through research and technology innovation and superior client service. The company's strength lies in its ability to use and develop the skills of its people across a wide remit of business activities. At RMS, we believe the result of deeper knowledge is positive change. Our ultimate goal is to create a more sustainable and resilient world through a better understanding of catastrophic events.
To find out more, visit www.rms.com/careers.
Transforming the insurance industry's understanding and quantification of risk.
RMS delivers the world's leading catastrophe risk models in...