Pricing & Risk Analyst (AI)

Location: Remote within one of the listed US states; candidates must be able to live and work full-time in an eligible state.

Salary: $80,000–$115,000 per year, plus equity.

Company

Kin builds data- and technology-driven homeowners insurance products focused on affordability, clarity, and climate-risk markets.

What you will do

• Own recurring state performance reporting across quote volume, conversion, new business, premium, retention, and loss experience.
• Analyze geography, risk characteristics, coverage, and distribution channels to identify growth opportunities and segments requiring review.
• Evaluate the effects of rate changes, underwriting rules, and business-mix shifts on growth and profitability.
• Build competitive research and measure performance after pricing, underwriting, and product changes launch.
• Use Databricks Genie, Claude Code, SQL, analytical scripts, and approved MCP connections to automate recurring work and explore data.
• Deliver charts, summaries, and recommendations while validating data, calculations, and AI-generated outputs.

Requirements

• 0–2 years of relevant experience; internships, coursework, and analytical projects count.
• Bachelor’s degree in economics, statistics, mathematics, actuarial science, finance, business, computer science, or a related field, or equivalent practical experience.
• Foundational SQL skills and proficiency with Excel or similar spreadsheet tools.
• Experience analyzing data, identifying patterns, investigating questions, and explaining findings clearly.
• Hands-on experience using AI for analytical or coding tasks and willingness to develop proficiency with Claude Code, Databricks Genie, and MCP-enabled workflows.
• Ability to question and verify AI-generated results, document assumptions, and manage assignments with guidance.

Nice to have

• Experience with Claude Code, Databricks Genie, or MCP connections.
• Exposure to property and casualty insurance, pricing, underwriting, or risk analysis.
• Familiarity with Python, data visualization, or statistical analysis.
• A project demonstrating AI-assisted data analysis, result validation, and recommendation development.

Culture & Benefits

• Remote-first work environment with collaboration offices in Chicago and St. Petersburg.
• Company equity through RSUs and a 401(k) with up to 4% company match.
• Medical, dental, vision, HSA, life insurance, disability, and mental health support.
• Flexible PTO, company holidays, and paid parental leave.
• Professional development budgets and internal career mobility opportunities.
• AI-supported, data-driven, lean, and collaborative working principles.

Hiring process

• Interviews with recruiters, hiring managers, and team members.
• A relevant skills assessment may be included.
• Prompt updates and feedback are provided after interviews.