Quantitative Associate — Insurance Pricing & Portfolio (Equity)

Corgi; Chicago (IL); Hybrid; USD 200,000 - 350,000; Full time

Benefits offered by this job

Equity

Autonomy

Health benefits

Job summary

Corgi is a full-stack insurance carrier building faster, automated policies with AI. We seek a high-caliber quantitative professional to build models for pricing, underwriting, forecasting, and portfolio decisions in a fast-moving, data-rich environment.

You will analyze large datasets, collaborate with engineering and product teams, and help shape underwriting and investment strategies while contributing to strategic initiatives across the company.

Qualifications

• Strong quantitative background in mathematics, statistics, economics, physics, computer science, or engineering.
• Exceptional analytical and problem-solving abilities.
• Familiarity with statistical modeling, forecasting, optimization, or ML techniques.
• Ability to communicate complex concepts clearly and effectively.
• Curious and eager to learn new domains quickly.
• Comfortable operating in a fast-moving, ambiguous environment.

Responsibilities

• Build and maintain quantitative models to support pricing, underwriting, forecasting, and business decisions.
• Support underwriting leadership in portfolio management and underwriting strategy.
• Analyze large datasets to identify trends, risks, and opportunities; collaborate with engineering and product teams.
• Assist in investment portfolio management by designing experiments and evaluating outcomes using statistics; stress-test trade ideas.
• Contribute to strategic initiatives across insurance, operations, finance, and growth.

Skills

Quantitative skills

Analytical thinking

Statistical modeling

Communication skills

Curiosity to learn

Adaptability

Education

Advanced quantitative degree

Tools

Python

SQL

Machine Learning

Cloud platforms

Job description

Corgi is a full-stack insurance carrier building faster, automated policies with AI. We seek a high-caliber quantitative professional to build models for pricing, underwriting, forecasting, and portfolio decisions in a fast-moving, data-rich environment.

You will analyze large datasets, collaborate with engineering and product teams, and help shape underwriting and investment strategies while contributing to strategic initiatives across the company.