Director I, Data Science
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The GRM Product Design and Modeling Business Lines Package & WC team has an opening for a Director I (STP), Data Science, who will help lead development and execution of rating & pricing models for the Property & General Liability lines of business. This individual contributor role will report directly to the Package & WC Design Lead and will have opportunities to collaborate directly with global teams in Product Design and Modeling, including Complex Components, Demand Modeling, and Pricing Sophistication; opportunities may also exist to work on projects globally in partnership with the East & West Design team.
The Director role will require collaboration with business partners to develop best-in-class new business pricing sophistication. This level reflects broad knowledge of Business Lines products, actuarial & data science techniques, and the application of those techniques the Property & General Liability lines of business.
- Build complex loss cost models for Property & GL lines of business, incorporating learnings from other Business Lines as appropriate
- Build or incorporate complex sub-models to improve accuracy
- Explore and utilize advanced modeling techniques (e.g. machine learning techniques such as Elastic Nets)
- Collaborate with Delivery, Underwriting Effectiveness, and other business partners to help implement new pricing programs
- Interpret and provide a clear view of model results
- Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations and business processes
- Effectively communicate results in written, oral, and presentation formats
- Mentor other team members
- Bachelor's degree required. Insurance designations such as FCAS or advanced degree in a quantitative field desirable.
- Overall 5-7 years of progressively more responsible experience.
- Strong analytical skills with solid understanding of all casualty actuarial techniques, standards, and assumptions. Expert skills in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem, R, Python) highly desired.
- Proficient in predictive analytics including real-world experience in model development, validation, and testing.
- Strong knowledge of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal, and Sales departments.
- High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling, and code (e.g., SQL) preferred.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing.
- Ability to establish and build effective relationships within and outside the organization.
- Ability to perform high-level work both independently and collaboratively as a project team member or leader.