What are the responsibilities and job description for the VP, Lead Data Scientist - Actuarial and CAT Modeling position at 1872 Consulting?
VP, Lead Data Scientist - Actuarial and CAT ModelingChicago or NYCSUMMARYThis position will be working to start as an individual contributor, that will be owning a new solution within our portfolio that is focused on optimizing the insurance products we use (or don't use), and understanding the risk adjusted rates that the different insurance products offer.In this role, you will be leading actuarial and catastrophy modeling, to ensure the rates being offered to us by our insurance providers are competitive, and develop models to determine whether we assume the risk ourselves, versus insuring through 3rd parties. There is a lot to unpack with this, and other responsibilities as well.You'll be working with various stakeholders internally in the U.S., Europe and Asia to spearhead this solution. We're looking for someone who is solutions oriented, that can understand business goals and develop strategic plans to achieve those business goals – and then be hands on to execute on the initiatives that were set forth.This is a newly created, key hire for us. Over time, you'll have an opportunity to grow a team, and hire direct reports. But we're looking for someone with an entrepreneurial spirit to work independently to get this new solution off the ground.What you'll be doing Enable us to be as or more knowledgeable about our risks than the insurance companies, brokers and bankers that we are working withInnovate and advance our core risk methodology and approach to bolster and expand our lead in the marketplaceBe able to articulate the results and implications of our risk models, including actuarial analysis and property CAT models, both to stakeholders who have detailed knowledge of such models, as well as to business leaders with a limited knowledge of risk.Ensure that our market data is up-to-date and meets our high standards for accuracy and integrity, especially with respect to data collected from non-traditional data providers, such as Blackstone portfolio companies, Third Party Administrators and insurance brokers."Own” our RMIS system and relationships with data related vendors. Drive the development of roadmaps for those relationships to provide more and better capabilities.Develop and provide performance metrics to drive accountability for the Risk Management team.Skills we're seekingRequired : Bachelor's degree and / or a graduate degree in a quantitative discipline (math, engineering, actuarial, finance, economics)8 years of experience working in the area of data science, actuarial science or other related field3 years of specific experience in the insurance industry, and experience with either actuarial modeling or CAT modeling (both would be great)Experience "owning” and driving data solutions within an organizationAbility to present to executive stakeholders, and to influence stakeholders to get buy inNice to haves Experience with financial analysis, ideally including financial statements, cash flow and ROI analysisFixed income or derivatives capital markets knowledge#J-18808-Ljbffr
