What are the responsibilities and job description for the Actuary - Actuarial Analytics / Actuarial Engineering position at Acunor Infotech?
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
- Bachelor's 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