Actuary

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! 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 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. 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! 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. Manage and direct onshore and offshore vendor resources, providing domain guidance, quality review, and delivery oversight. Collaborating 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. What You'll Bring 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. You don't need to be a software engineer, but you need to speak the language. 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 — Proven ability to build executive‑level presentations and translate actuarial complexity into clear business narratives. Your work creates C‑suite and board level deliverables. Experience & Education 7+ years of actuarial experience with at least 3 years in commercial‑lines brokerage, carrier, or consulting environments. FCAS or ACAS preferred. Bachelor's degree in actuarial science, mathematics, statistics, or related quantitative field required; advanced degree preferred. Demonstrated experience building actuarial models in Python — candidates who work exclusively in Excel or R will need to show a credible transition path. Prior exposure to brokerage analytics context preferred — understanding how actuarial outputs are used in placement and renewal cycles, not just pricing or reserving. Domain Working knowledge of commercial lines insurance across D&O, Cyber, GL, PL, Property, and Employee Benefits — coverage structures, program towers, exposure bases, and the actuarial concepts underlying each. Familiarity with how benchmarking, limit adequacy analysis, and TCOR modeling are used in client advisory and renewal negotiations. Comfort working across a matrixed organization with brokers, practice leaders, client executives, client‑facing actuarial departments, and technical teams simultaneously. Compensation The national average salary for this role is $180,000.00 - $220,000.00 in base pay and exclusive of any bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data. Why EPIC Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non‑exempt employees; 12 company‑observed paid holidays; 4 early‑close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. As set forth in EPIC Brokers’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr