P&C Data Analyst - Pricing & Analytics for Growth

Argonaut Management Services, Inc; New York (NY); Sur place; USD 70 000 - 98 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) match

Paid time off

Professional development opportunities

Résumé du poste

Farm Family is seeking a P&C Data Analyst to develop analytical models that inform pricing, underwriting, and portfolio management decisions. You will turn insurance data into actionable insights, supporting profitability across Personal and Commercial Lines.

Collaborate with pricing actuaries, underwriting, claims, and product teams to translate questions into solutions, monitor model performance, and ensure data quality and governance.

Qualifications

• Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or related field.
• 2–4 years of relevant experience in data science, analytics, actuarial support, or related roles; master's may substitute.
• Proficiency in analytical programming languages and tools (SQL, Python, R).
• Experience with large, complex datasets.
• Strong analytical thinking, problem solving, and communication skills.

Responsabilités

• Support pricing analyses, rate reviews, segmentation evaluations, portfolio monitoring for Personal and Commercial Lines.
• Analyze trends in frequency, severity, retention, growth, profitability, and other metrics.
• Partner with actuarial, underwriting, and product teams to address business challenges with data-driven recommendations.
• Assess impact of underwriting, pricing, and product changes on performance.
• Develop recurring and ad hoc analyses to support decision-making.

Connaissances

SQL

Python

R

Data analysis

Communication

Formation

Bachelor's degree in a quantitative field

Master's degree may substitute for 1–2 years experience

Description du poste

Farm Family is seeking a P&C Data Analyst to develop analytical models that inform pricing, underwriting, and portfolio management decisions. You will turn insurance data into actionable insights, supporting profitability across Personal and Commercial Lines.

Collaborate with pricing actuaries, underwriting, claims, and product teams to translate questions into solutions, monitor model performance, and ensure data quality and governance.