VP, Lead Data Scientist - Actuarial and CAT Modeling

VP, Lead Data Scientist - Actuarial and CAT Modeling

Location: Chicago or NYC

SUMMARY

This position will start as an individual contributor, owning a new solution within our portfolio focused on optimizing the insurance products we use (or don't use) and understanding the risk-adjusted rates that different insurance products offer.

In this role, you will lead actuarial and catastrophe modeling to ensure the rates offered to us by our insurance providers are competitive and develop models to determine whether we assume the risk ourselves versus insuring through third parties. You'll work with various stakeholders internally in the U.S., Europe, and Asia to spearhead this solution. We're looking for someone who is solutions-oriented, can understand business goals, and develop strategic plans to achieve those goals, while being hands-on to execute the initiatives 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. 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

1. Enable us to be as or more knowledgeable about our risks than the insurance companies, brokers, and bankers we work with.
2. Innovate and advance our core risk methodology and approach to bolster and expand our lead in the marketplace.
3. Articulate the results and implications of our risk models, including actuarial analysis and property CAT models, to both knowledgeable stakeholders and business leaders with limited risk knowledge.
4. Ensure 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.
5. Own our RMIS system and relationships with data-related vendors, driving the development of roadmaps for those relationships to provide more and better capabilities.
6. Develop and provide performance metrics to drive accountability for the Risk Management team.

Skills we're seeking

Required:

1. Bachelor's degree and/or a graduate degree in a quantitative discipline (math, engineering, actuarial, finance, economics).
2. 8+ years of experience in data science, actuarial science, or a related field.
3. 3+ years of specific experience in the insurance industry, with experience in either actuarial modeling or CAT modeling (both are preferred).
4. Experience owning and driving data solutions within an organization.
5. Ability to present to executive stakeholders and influence them for buy-in.

Nice to haves:

1. Experience with financial analysis, ideally including financial statements, cash flow, and ROI analysis.
2. Fixed income or derivatives capital markets knowledge.