We are Praedicat, a funded InsurTech startup headquartered in Los Angeles, with additional offices in New York and London. Our business is helping other businesses make the world cleaner, safer and healthier, and we do it with a foundation deeply rooted in science, technology, analytics and a business-minded approach to client service. We deliver innovative new predictive models that use cutting edge quantitative analytics and technologies to help our clients future-proof their business. Our people are our greatest assets, and we enjoy a unique and special culture that thrives on hard work, being kind and staying curious. If that sounds like you, read on.
Making a difference: Our products deliver data from peer-reviewed science into the workflow of business, empowering our clients to make better decisions that result in cleaner technologies, safer products, and a healthier environment while driving profitable and sustainable growth. That’s making a difference.
Multidisciplinary collaboration: We believe in collegiality and multidisciplinary collaboration. We work really well together even though our areas of expertise vary dramatically. We leave our egos at the door because when we listen to understand, rather than to respond, we learn from each other and build off each other’s ideas. And that leads to solutions.
Hard problems and cutting-edge technologies: What’s the next asbestos? Imagine if you could answer that billion-dollar question. How might you use that knowledge? How many lives would be saved? When you are tackling hard problems and trying to answer hard questions, you employ every tool in your tool kit…and our tool kit is chock-full of cutting-edge technology like artificial intelligence, machine learning, big data manipulation…and heart.
We are looking to hire a Client Engagement Manager, who will report to the Senior Vice President, Account Management. The ideal candidate has training in a quantitative discipline with experience in the P&C insurance industry and is at ease explaining complex technical concepts to technical and non-technical audiences alike. This person will be responsible for delivery of analytical services to senior executives at Praedicat’s commercial (re)insurance clients. These analytical services would include (but are not limited to), portfolio analyses and portfolio optimization.
To be successful, this person will develop a comprehensive understanding of Praedicat’s clients, proprietary analytics and products so s/he can counsel clients and prospects on how to receive maximum value from Praedicat’s products and services. This person will have experience in developing and applying quantitative modelling products and be prepared to discuss the application of technical products to the insurance and reinsurance workflow. This person will be comfortable listening to prospects and clients and thinking creatively about how Praedicat’s analytics can solve their problems.
Be primarily responsible on the Client team for delivery of analytical services to senior executives at Praedicat’s commercial (re)insurance clients. These analytical services would include (but are not limited to): portfolio analyses, portfolio optimization recommendations, and model validation exercises.
Drive Praedicat model adoption by interacting with clients around the interpretation and application of Praedicat’s analytics and software
Facilitate the application and integration of Praedicat’s analytics into critical client business functions
Drive and manage client relationships. Engage in planning process with customers that will provide them a roadmap with clear success metrics for achieving their strategic objectives through the use of Praedicat’s products and services
Develop a deep and detailed understanding of clients’ business goals and needs and tailor client engagements to enable them to derive the greatest value from Praedicat’s current suite of products and services, as well as identify new opportunities with the client
Continually develop and refine (re)insurance client use cases, and perform discovery and new use case development, as Praedicat expands its solutions and service offerings
Proactively solicit feedback from our clients to identify and influence improvements in Praedicat’s analytics and software
Act as client advocate within Praedicat by representing client interests internally, specifically as they relate to product improvement, product steering and Praedicat’s prioritization roadmaps
Identify and implement improvements to processes, documents, tools, reports, etc. to better serve clients and benefit the internal Praedicat team
Work closely with the Sales team to facilitate new client conversions and existing client renewals
Actively seek out opportunities to support Praedicat marketing efforts
Provide technical support to clients by working with our Modeling and Engineering teams to resolve technical questions or issues
A. in mathematics, applied mathematics, actuarial science or other technical / quantitative discipline
5+ years experience working the (re)insurance industry with strong knowledge of casualty (re)insurance market
Familiarity with (re)insurance analytics and ability to explain technical/expert concepts to both non-technical and technical audiences in a way that will translate into meaningful client decisions
Solid project management skills with the ability to drive projects to completion when the path is not always clear and/or structured
Strong team player; actively collaborate with teams including sales, marketing, engineering, product management and modeling.
Excellent written and verbal communication skills
Telecommuting is allowed.
About Praedicat Inc
Praedicat is a latency risk data and modeling company and a spin-off of the nonprofit RAND Corporation and catastrophe modeling firm Risk Management Solutions, Inc. (RMS). The risk principle at the foundation of Praedicat is that “The science is the risk.” When commercial products or business practices cause latent bodily injury in the population, for the loss to be compensable in court, the injured parties must submit published science supporting the claim to the court. Scientific literatures that eventually become evidence in court develop one paper at a time over multiple years. As an emerging risk tool, Praedicat’s text mining technologies identify the science when the earliest papers are published. As the literature evolves, Praedicat identifies exposure settings and evaluates the state of the science. When the literatures are mature, Praedicat compares the state of the literature to the characteristics of scientific literatures in admitted litigation. With clearly specified harms and exposed populations identified from peer-reviewed journals, Praedicat is able to estimate severity of the risk and size of the claimant population. Finally, Praedicat has developed a probabilisti...c model that uses empirical predictions of the future state of the science to create a science-based prospective litigation event set. Praedicat’s multidisciplinary team includes bioscientists, economists, actuaries, statistical modelers, data scientists and software engineers. Praedicat’s models have been back-tested and validated by an external actuarial firm. The data and models are used for underwriting, risk management, and the development of new insurance products by multiple global insurers and reinsurers. Global industrial companies also use the data and models for best-in-class product stewardship and risk management.