Hybrid Senior Data Analytics Lead — P&C Insurance & Reinsurance

Church-Pension-Group-Services-Corporation; New York (NY); Hybrid; USD 150,000 - 175,000; Full time

Benefits offered by this job

Medical (including Vision)

Dental

401(k) with matching

Job summary

Church Pension Group in New York, NY seeks a proactive Director of Data Analytics/Data Scientist to transform policy, premium, and loss data into actionable decisions on pricing, reserving, reinsurance, capital, and underwriting. This hands‑on, highly visible role partners with management to drive measurable business impact.

The position requires deep data expertise, leadership in data workflows, and strong communication skills to present executive‑level insights.

Qualifications

• 10+ years in data analysis, actuarial, or data science with 5+ years in P&C.
• Bachelor’s degree in quantitative field as listed.
• Experience with rate making, reserving, and reinsurance workflows.
• Excellent communication suitable for executive audiences.

Responsibilities

• Produce rate indications by segment for personal and commercial lines.
• Maintain reserving triangles and perform chain‑ladder and BF analyses.
• Own data workstream for annual reinsurance renewal.
• Run cause‑of‑loss studies and translate findings to underwriting actions.
• Develop recurring loss/ratio and profitability reports.
• Present findings and recommendations to leadership.

Skills

Data analysis

Actuarial data modeling

Communication

Problem solving

Attention to detail

Education

Bachelor's degree in Mathematics, Statistics, Economics, Data Science, or Computer Science

Tools

Excel

Power BI

Tableau

Job description

Church Pension Group in New York, NY seeks a proactive Director of Data Analytics/Data Scientist to transform policy, premium, and loss data into actionable decisions on pricing, reserving, reinsurance, capital, and underwriting. This hands‑on, highly visible role partners with management to drive measurable business impact.

The position requires deep data expertise, leadership in data workflows, and strong communication skills to present executive‑level insights.