Actuarial Associate – AI and Data Transformation

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.

Own the AI & data transformation roadmap for ISO loss costs and related data. Set realistic, well-scoped deliverables and timelines for how our data gets exposed to and consumed by AI systems.

Scope and design the actuarial workflows and data logic that get built into AI-facing and customer-facing tools. You will help create new components and automation that help customers realize value from our loss costs and related data. Your understanding of actuarial and insurance product workflows will make the "intelligence" behind our AI tools smarter and more precise. You will help ensure our solutions are not merely nice-to-have but are adding meaningful value.

Reduce friction for data consumption. Build solutions that plug into a variety of AI architectures and ensure that Verisk’s specialized intelligence is maintained throughout.

Bridge operational and technical teams. 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.

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

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Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

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