FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

SVP, Insurance Actuarial Engineering
EPIC Insurance Brokers & ConsultantsSVP building Python-based actuarial analytics for EPIC, a U.S. insurance brokerage.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in actuarial modeling and analytics, with a strong focus on Python for statistical analysis and model development. Proven ability to translate complex actuarial outputs into clear, executive-level presentations and client-facing narratives.
Highest-signal resume keywords
Actuarial Modeling in PythonCommercial Lines Insurance KnowledgeExecutive-Level Presentation SkillsTeam Building and LeadershipData Manipulation and Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Actuarial ModelingStatistical AnalysisData ManipulationVersion ControlModel ValidationBenchmarkingLimit Adequacy AnalysisTCOR ModelingProduction-Level PythonActuarial Science
Soft Skills
CollaborationCommunicationProblem-SolvingLeadershipClient Engagement
Tools & Technologies
DatabricksAzureSDLCGoverned-Platform DeploymentApplication Engineering
Certifications & Qualifications
FCASACAS
Industry Keywords
D&O InsuranceCyber InsuranceGeneral LiabilityProfessional LiabilityProperty InsuranceEmployee BenefitsCommercial-Lines BrokerageConsulting EnvironmentsAnalytics RoadmapMatrixed Organization
Tech Stack
Tools & technologiesAzurePythonSDLC
About the role
Key responsibilities & impact- Own the actuarial model library across D&O, Cyber, General Liability, Professional Liability, Property, and Employee Benefits
- Translate actuarial model outputs into client-ready deliverables and executive presentations
- Operationalize validated models through the SDLC into production with data and application engineering partners
- Maintain quality and auditability standards for actuarial analytics outputs
- Design, build, and validate actuarial and statistical models using Python
- Build and develop a team of actuarial professionals while remaining a hands-on builder
- Develop reusable analytics solutions and board-ready client-facing narratives
- Partner with solution engineering on governed-platform deployment and development-to-production handoffs
- Manage and direct onshore and offshore vendor resources
- Collaborate on architectural decisions affecting client-facing actuarial deliverables
- Engage practice leaders and client executives to embed deliverables into new and renewal business workflows
- Maintain model documentation, validation records, and auditability standards
- Contribute to the analytics roadmap by identifying data-driven opportunities across lines of business
Requirements
What you’ll need- 7+ years of actuarial experience
- At least 3 years in commercial-lines brokerage, carrier, or consulting environments
- Bachelor's degree in actuarial science, mathematics, statistics, or related quantitative field required
- Production-level Python for actuarial modeling, statistical analysis, and data manipulation
- Working understanding of version control, testing, documentation, and engineering handoff for model deployment
- Comfort with large policy, claims, and exposure datasets
- Working knowledge of Databricks, Azure, or equivalent platforms
- Proven ability to build executive-level presentations and translate actuarial complexity into clear business narratives
- Demonstrated experience building actuarial models in Python
- Working knowledge of commercial lines insurance across D&O, Cyber, GL, PL, Property, and Employee Benefits
- Familiarity with benchmarking, limit adequacy analysis, and TCOR modeling
- Ability to work across a matrixed organization with brokers, practice leaders, client executives, actuarial departments, and technical teams
- FCAS or ACAS preferred
- Prior exposure to brokerage analytics context preferred
Benefits
Comp & perks- 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
- Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
- Employee referral bonus program of $1,500 per hired referral
- Employee recognition programs and additional employee recognition awards and programs (and trips!)
- Employee Resource Groups: Women’s Coalition, EPIC Veterans Group
- Mentorship Program
- Tuition Reimbursement Program
- Leadership Development
- Pet Insurance
- Identity Theft & Fraud Protection Coverage
- Legal Planning
- Family Planning
- Menopause & Midlife Support
- 401(k) matching
- Medical insurance
- Dental insurance
- Vision insurance
- Wellness & employee assistance programs
- 50/50 culture supporting collaboration, teamwork, and an inclusive work environment
- EPIC Gives Back charitable efforts, including Donation Connection, Employee Assistance Fund, and People First Foundation