Corgi Insurance - Quantitative Associate
Requirements
• Strong quantitative background in mathematics, statistics, economics, physics, computer science, engineering, or a related field. • Exceptional analytical and problem-solving abilities. • Familiarity with statistical modeling, forecasting, optimization, or machine learning techniques. • Ability to communicate complex concepts clearly and effectively. • Strong intellectual curiosity and willingness to learn new domains quickly. • Comfortable operating in a fast-moving, ambiguous environment. • Experience in insurance, financial services, capital markets, or other data-intensive industries. • Exposure to predictive modeling, risk modeling, or actuarial concepts. • Experience building production analytical tools or models. • Familiarity with modern data infrastructure and cloud-based analytics platforms. • Advanced degree in a quantitative discipline.
Responsibilities
• This is a unique role for someone who likes to find the answer in the numbers and build quantitative driven solutions to help us solve some of the hardest problems in insurance and portfolio management. • Build and maintain quantitative models to support pricing, underwriting, forecasting, and business decision-making. • Support the Head of Underwriting in: • The management of the Corgi insurance portfolio and development of underwriting strategy. • Analyze large and complex datasets to identify insurance trends, risks, and opportunities • Partner with engineering and product teams to implement the results of your findings. • Support the Head of Quantitative Strategy in the management of the Corgi investment portfolio and the development of our investment strategy. • Design experiments and evaluate outcomes using statistical methods. • Build and stress-test trade ideas from concept to execution that will directly contribute to the management of the investment portfolio. • Support strategic initiatives across insurance, operations, finance, and growth.
Benefits
• Work directly on some of the hardest problems in insurance • Build models that influence real-world decisions and outcomes • Competitive compensation, equity, and benefits • Opportunity to help build a category-defining company from the ground up
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