Actuary – Actuarial Analytics Actuarial Engineering

Job Title: Actuary Actuarial Analytics / Actuarial Engineering

Location: Hybrid San Ramon CA preferred (Open to other client office locations)

Work Model: Hybrid Minimum 3 days/week onsite

Employment Type: Full-Time

Salary: Depends on Experience credentials and location of work.

Role Overview

We are seeking an experienced Actuary with strong actuarial analytics and actuarial engineering expertise. The ideal candidate will combine deep actuarial knowledge with modern analytics and technology skills including Python cloud/data platforms and large-scale data analysis.

This role will focus on building validating and operationalizing actuarial models across commercial insurance lines while translating complex analytical outputs into actionable business insights for leadership and client-facing stakeholders.

Key Responsibilities

• Design build and validate actuarial and statistical models for pricing portfolio analytics benchmarking and risk analysis
• Develop actuarial model libraries across commercial insurance domains including:
• D&O
• Cyber
• General Liability
• Professional Liability
• Property
• Employee Benefits
• Build models for:
• Frequency & severity analysis
• Loss development
• Layer pricing
• Limit adequacy
• TCOR
• Benchmarking analytics
• Translate actuarial outputs into executive-ready presentations and business recommendations
• Partner with data engineering and analytics teams to operationalize actuarial models into scalable solutions
• Maintain model validation documentation auditability and quality standards
• Support advisory pricing placement and renewal workflows

Required Skills

• 7 years of actuarial experience
• 3 years within commercial lines insurance brokerage carrier or consulting environments
• Strong hands-on Python experience for actuarial modeling and statistical analysis
• Experience building actuarial models beyond Excel
• Experience working with large datasets including claims policy exposure pricing and benchmarking data
• Familiarity with Databricks Azure or similar cloud/data platforms
• Understanding of SDLC concepts including version control testing and documentation
• Bachelors degree in Actuarial Science Mathematics Statistics or related quantitative field

Preferred Qualifications

• FCAS or ACAS preferred
• Brokerage analytics experience
• Strong understanding of pricing placement benchmarking and renewal analytics
• Ability to communicate actuarial insights to executive and non-technical stakeholders
• Experience collaborating with actuarial engineering analytics and advisory teams