SVP Insurance Actuarial Engineering

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. With locations spread out across the U.S., 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!

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 experienced actuary in insurance (REQUIRED) who builds analytics products that non-actuaries can use.

This is not a people management role in the traditional sense. You will be hands‑on building, validating, and operationalizing actuarial models across EPIC's full commercial lines and 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.

• 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.
• Manage and direct onshore and offshore vendor resources, providing domain guidance, quality review, and delivery oversight.
• Collaborate with solutions leads on architectural decisions affecting client‑facing actuarial deliverables.
• Engage with practice leaders and client executives to embed platform deliverables into new and renewal business workflows, refining models and presentation layers based on stakeholder feedback.
• Maintain model documentation, validation records, and auditability standards for client‑facing and regulatory contexts.
• Contribute to the analytics roadmap by identifying opportunities across lines of business for innovative, data‑driven insights.

Credentials & Technical Skills

• Actuarial Credentials — FCAS or ACAS preferred. Credential requirements are flexible for candidates with proven commercial lines brokerage business depth and a strong delivery‑track record.
• Python — Production‑level Python for actuarial modeling, statistical analysis, and data manipulation. You write clean, maintainable code not one‑off scripts.
• SDLC Fluency — Working understanding of version control, testing, documentation, and engineering handoff as applied to model deployment.
• Data & Cloud — Comfort with large policy, claims, and exposure datasets. Working knowledge of Databricks, Azure, or equivalent platforms sufficient to collaborate with solution engineering partners.
• Communication —…