Jersey City, NJ, United States
Live, first seen by us 65 days agoThe Team You will report directly to our Head of Insights and Actuarial Transformation (who is an actuary), on a team focused on the user experience for our actuarial and data products. We expect 1-2 direct reports for this role (also actuaries) to support these initiatives. This position is hybrid from the Jersey City, NJ office or remote from elsewhere with an expectation of working Eastern Time Zone hours. This role sits at the intersection of our powerful actuarial data, our operational teams who produce the data, and our developer teams who help ship the data through customer-facing infrastructure (including emerging AI technology). You will be the lead stakeholder who ties it all together and ensures we deliver valuable capabilities for our customers.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Own the AI and data transformation roadmap for ISO loss costs
Scope and design actuarial workflows and data logic for AI and customer tools
Build solutions that plug into a variety of AI architectures
Align data-building and infrastructure teams on one architecture
Own the AI & data transformation roadmap for ISO loss costs and related data.
Scope and design the actuarial workflows and data logic that get built into AI-facing and customer-facing tools.
Build solutions that plug into a variety of AI architectures
Work closely with the teams that build our core data assets and the teams that maintain customer-facing infrastructure, so both are building toward the same architecture rather than in parallel.
As the world of AI is new and fast-moving, you are not expected to be a technology expert. The role, however, demands you to be an insurance expert. You will make sure that the workflows are built to empower the people that drive success in our industry. You will bring actuarial rigor, use programming creativity, and fill knowledge gaps through collaboration. - Bachelor’s degree in actuarial science, mathematics, statistics, or a related major. - At least 4 - 6 years of P&C actuarial experience with a focus on pricing or underwriting functions required.
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Day 65
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- Associate of the Casualty Actuarial Society (ACAS) preferred. Exam 5 required. - Proficiency in actuarial software and tools (e.g., R and/or Python, SQL, Excel). - High degree of agency and ownership; demonstrated ability to operate independently, drive projects forward with limited oversight, and take accountability for outcomes across the full lifecycle of a process or product build.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Verisk's ISO loss costs and robust statistical data have empowered the P&C industry for decades. New technology promises to help insurers operationalize this data in new ways. For example, natural language chat can augment legacy reports and dashboards. Agentic workflows can help solve repetitive, manual processes. And users can take advantage of semi-structured data across multiple data sources more easily than ever. You will help make this possible for our client insurers.
Achieving this reality requires leaders who can imbue the thoroughness, accuracy, and expertise that the insurance industry demands. We've already proven this is possible: We recently launched an MCP connector exposing our underwriting intelligence.
We are seeking a leader to own this initiative full-time. You will turn early proof points into a roadmap that is regularly delivering new excellence to our customers.
The Team
You will report directly to our Head of Insights and Actuarial Transformation (who is an actuary), on a team focused on the user experience for our actuarial and data products. We expect 1-2 direct reports for this role (also actuaries) to support these initiatives. This position is hybrid from the Jersey City, NJ office or remote from elsewhere with an expectation of working Eastern Time Zone hours.
This role sits at the intersection of our powerful actuarial data, our operational teams who produce the data, and our developer teams who help ship the data through customer-facing infrastructure (including emerging AI technology). You will be the lead stakeholder who ties it all together and ensures we deliver valuable capabilities for our customers.
What You'll Do
As the world of AI is new and fast-moving, you are not expected to be a technology expert. The role, however, demands you to be an insurance expert. You will make sure that the workflows are built to empower the people that drive success in our industry. You will bring actuarial rigor, use programming creativity, and fill knowledge gaps through collaboration.
Good interpersonal, oral, and written communication skills, with the ability to explain technical concepts clearly to teammates. Ability to present to audiences and high-profile stakeholders on occasion.
We value people who can foster a culture of actuarial excellence and an appreciation for our industry.
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Jersey City, NJ, United States
The Team You will report directly to our Head of Insights and Actuarial Transformation (who is an actuary), on a team focused on the user experience for our actuarial and data products. We expect 1-2 direct reports for this role (also actuaries) to support these initiatives. This position is hybrid from the Jersey City, NJ office or remote from elsewhere with an expectation of working Eastern Time Zone hours. This role sits at the intersection of our powerful actuarial data, our operational teams who produce the data, and our developer teams who help ship the data through customer-facing infrastructure (including emerging AI technology). You will be the lead stakeholder who ties it all together and ensures we deliver valuable capabilities for our customers.
No clear work-authorization passage found. Eligibility is unconfirmed.