SVP Actuarial Engineering

Come join our team! There are many reasons why EPIC Insurance Brokers Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen.

Headquartered in New York City and founded in 2007, our company has over 3,000 employees nationwide. , our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.

Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!

JOB OVERVIEW: A unique opportunity for credentialed actuaries to transition into a technology solutions architect role and provide actuarial analytics tools for client executives and brokers that inform the business values chain of the deal cycles. We are looking for an SVP of Actuarial Engineering who is, first and foremost, an actuary who builds analytics products that non-actuaries can use. This is not a people management role in the traditional sense.

Benefits

portfolio. You will work with a lean team and partner closely with solution engineers to move models from development into production on Azure Databricks platform. Equally important, you will translate complex actuarial outputs into clear, executive-ready presentations and documents.

Your models will inform brokers in benchmarking risk, validating program pricing, and advising clients. You will also develop training materials and translate the solutions to practice leaders, client executives, and brokers. If you are a credentialed actuary comfortable in a Python coding and seeking to embrace modern tools and platforms for building scalable intelligent solutions, perhaps this is where that trajectory begins!

— frequency-severity models, loss development, layer pricing, limit adequacy, and program benchmarking. Collaboration with other actuaries to translate actuarial model outputs into client-ready deliverables and executive presentations that brokers and practice leaders can use directly in deal cycles. Operationalization of models built by other teams in the enterprise taking validated models through SDLC into production in collaboration with data application engineering partners.

Quality and auditability standards for all actuarial analytics outputs consumed by client-facing teams.

WHAT YOU’LL DO

: What you'll own: Actuarial model library across D O, Cyber, General Liability, Professional Liability, Property, and Employee

Responsibilities

: Design, build, and validate actuarial and statistical models for commercial lines pricing and portfolio analytics using Python. Build and develop a team of actuarial professionals, leading from the front as a hands-on builder while scaling the team's modeling, analytics, and advisory capabilities across the platform. Develop reusable analytics solutions that translate complex model outputs into board-ready presentations and client-facing analytical narratives.

Partner with solution engineering to operationalize models on governed platforms, owning the handoff from development through production within a structured SDLC process.