Pricing & Risk Analyst, AI-Driven Growth

Kin Insurance

Heber (UT)

Remote

USD 70,000 - 100,000

Full time

10 days ago

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Benefits offered by this job

401(k) with company match
Medical, dental, vision
RSU-based equity
Flexible work

Job summary

Kin Insurance is a remote-first homeowners insurer seeking a Pricing & Risk Analyst to grow profitability, state by state, with data-driven insights. You will collaborate with state managers to turn policy, quote, and claims data into practical recommendations.

In this entry-level role, you’ll learn how analytics shape pricing and risk decisions using AI tools like Databricks Genie and Claude Code, with guidance from experienced colleagues across multiple states.

Qualifications

  • Bachelor's degree in a related field or equivalent practical experience
  • Foundational SQL skills and data analysis ability
  • Ability to translate data into actionable insights
  • Willingness to use Claude Code, Databricks Genie, and MCP-enabled workflows

Responsibilities

  • Own recurring state performance reporting on quote volume and profitability
  • Analyze performance across geography, risk characteristics, and distribution channels
  • Evaluate how rate changes and underwriting rules affect growth
  • Build competitive research for state comparisons and pricing opportunities
  • Use Databricks Genie to explore data and Claude Code to write SQL queries
  • Integrate data into analytical workflows via MCP connections
  • Validate data, AI outputs, and document sources
  • Deliver clear charts and concise summaries for Pricing and Risk teams

Job description

Kin Insurance is a remote-first homeowners insurer seeking a Pricing & Risk Analyst to grow profitability, state by state, with data-driven insights. You will collaborate with state managers to turn policy, quote, and claims data into practical recommendations.

In this entry-level role, you’ll learn how analytics shape pricing and risk decisions using AI tools like Databricks Genie and Claude Code, with guidance from experienced colleagues across multiple states.

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