Descartes Underwriting

4 Jobs

198 Employees

About the Company

Founded in 2019 to address the insurability of risks worsened by climate change, Descartes' mission is to help close the protection gap - the difference between insured and uninsured risk - and build resilience against emerging risks for businesses and governments.

Descartes is a global corporate insurer working exclusively with brokers to protect their corporate and public sector clients against climate, cyber and other emerging risks. At the forefront of AI and data analysis, Descartes utilizes cutting-edge technology combined with data from world-class research institutions to model, assess and manage risks.

Descartes boasts the largest team of scientists in the global insurance industry, comprising over 150 experts in meteorology, climatology, physics, data science, software engineering, DevOps, modelling, and underwriting. This diverse expertise enables us to develop transparent, tailored solutions to the challenges posed by emerging risks, and offer a range of innovative insurance products designed to meet clients' needs--often through cutting-edge parametric structures.

With a global footprint and a strong foothold in the U.S., Descartes serves a diverse client base across 60+ countries, operating from 17 offices in Europe, Asia, Oceania, and North America. Through corporate brokers, Descartes has already delivered over $10 billion in capacity to its clients.

The Descartes group includes Descartes Insurance, a full-stack insurer operating in several European markets, and Descartes Underwriting, a global MGA backed by a panel of tier-one risk carriers. The company has secured over $141M in funding from prominent investors, including Highland Europe, BlackFin, Serena, Cathay and Eurazeo.

Listed Jobs

Company Name: Descartes Underwriting
Job Title: Events & Marketing Manager - CDI
Job Description: **Job Title**: Events & Marketing Manager **Role Summary**: Plan, execute, and optimize events to strengthen brand presence and support business growth, aligning with marketing strategy. **Expectations**: 5-7 years in B2B event marketing; expertise in event strategy, digital/hybrid events, and lead generation; background in insurance preferred. **Key Responsibilities**: - Plan, organize, and execute client-facing events (trade shows, conferences, webinars, etc.). - Maintain the master event calendar and coordinate cross-functional milestone delivery. - Oversee event logistics: venue sourcing, vendor management, contract negotiation, and material production. - Manage annual event budget with accurate forecasting and cost-effective execution. - Lead sponsorship negotiations and secure partnerships to maximize ROI. - Collaborate with Sales and regional teams to align events with business objectives. - Partner with Growth Marketing Manager to optimize lead capture and track performance metrics. - Ensure events deliver high-quality, on-brand experiences supporting marketing/sales goals. **Required Skills**: - Fluency in English (written/verbal); French preferred. - Understanding of insurance/financial terminology and technical data; parametric insurance experience a plus. - Proficiency in digital/hybrid event planning, digital marketing tools, PowerPoint, and Excel. - Strong communication, project management, and interpersonal skills. **Required Education & Certifications**: Master’s degree in business or related field; prior insurance industry experience or parametric solutions expertise recommended.

Company Name: Descartes Underwriting
Job Title: Data Scientist -Intern
Job Description: **Job Title**: Data Scientist - Intern **Role Summary**: Support the Underwriting team in developing and analyzing parametric insurance solutions for global clients, leveraging machine learning and climate risk modeling to address natural catastrophe and cyber risks. **Expectations**: Academic candidate specializing in data science, computer science, applied mathematics, or related fields; preferred prior internship in data science, insurance, or climate modeling. **Key Responsibilities**: - Conduct risk analysis and structure insurance solutions for public and corporate clients. - Collaborate with software, operations, and business teams to refine product offerings and pricing tools. - Develop technical documentation for insurance contracts and business proposals. - Contribute to the enhancement of a climate-focused technological platform using advanced models. - Work autonomously on high-impact projects with attention to detail and deadlines. **Required Skills**: - Proficiency in Python (pandas, scikit-learn) and statistical/machine learning methods. - Strong analytical skills in probability, statistics, and applied mathematics. - Interest in climate risk, natural perils (wildfires, floods, earthquakes), and insurance modeling. - Fluency in English (written/verbal); additional language skills (e.g., French, Spanish, Chinese) preferred. **Required Education & Certifications**: - Pursuing a degree in data science, computer science, applied mathematics, climate studies, or equivalent. - Relevant certifications in machine learning or insurance analytics advantageous.

Company Name: Descartes Underwriting
Job Title: R&D Data Scientist -Intern
Job Description: **Job Title:** R&D Data Scientist - Intern **Role Summary:** Internship opportunity in R&D team to advance climate risk modeling and machine learning research. Focus on developing data-driven solutions for underwriting efficiency and innovation in parametric insurance. Collaborate across departments and external partners to integrate models into business operations. **Expectations:** 6-36 month commitment. Support model development for climate risk assessment and emerging perils. Deliver high-quality analyses, propose innovative methods, and align technical decisions with business goals. Adapt to growth and evolving projects. **Key Responsibilities:** - Develop and refine machine learning models for climate risk analysis (weather, natural catastrophes, cyber). - Conduct applied research on risk modeling techniques using emerging methods and academic literature. - Collaborate with underwriting and product teams to implement models and align with client needs. - Prioritize autonomy in technical problem-solving and iterative model improvement. - Test cutting-edge algorithms and validate outputs for reliability and scalability. **Required Skills:** - Advanced statistical/machine learning expertise (e.g., Python: pandas, scikit-learn). - Mastery in applied mathematics, probability, and climate modeling. - Proficiency in data analysis and model validation with attention to detail. - Strong written/verbal English communication. - Familiarity with insurance risk domains (e.g., natural perils, climate change). **Required Education & Certifications:** - Final-year master’s student in applied mathematics, physics, climate science, or equivalent. - Demonstrated academic or professional experience in data science, ML, or climate modeling (e.g., prior internships). - Preferred: Competence in a second language (e.g., French, Chinese, Spanish).

Company Name: Descartes Underwriting
Job Title: Underwriter Data Scientist - Industrial Risks - CDI
Job Description: Job title: Underwriter Data Scientist – Industrial Risks Role Summary: Data‑driven underwriting professional responsible for building, validating, and applying advanced quantitative models and pricing tools to assess industrial risk exposures for corporate and public sector clients within the EU. Works cross‑functionally with software, operations, legal, and commercial teams to deliver timely insurance proposals and maintain broker relationships. Expectations: - Deliver high‑quality risk models and pricing solutions that support profitable growth targets. - Maintain rigorous technical documentation, underwriting authority, and governance audit trails. - Communicate model logic and decisions clearly to brokers, internal stakeholders, and regulators. - Secure and grow brokerage networks across France and the EEA through regular engagement and market intelligence. Key Responsibilities: - Develop and enhance Descartes’ technological platform (models, pricing tools, analytics dashboards). - Conduct risk analysis, structuring, and underwrite industrial coverage proposals for public sector and corporate clients. - Draft insurance contracts and perform thorough due‑diligence of coverage terms. - Collaborate with brokers to capture client requirements, refine product features, and negotiate terms. - Participate in seminars, forums, and industry events to promote brand visibility and stay abreast of market trends. - Archive and audit technical documents to ensure compliance with underwriting policies and regulatory standards. Required Skills: - Strong background in statistics, probability, and applied mathematics. - Proficiency in Python (pandas, scikit‑learn, data manipulation). - Knowledge of machine‑learning techniques (classification, regression, time‑series). - Excellent written and verbal communication in French and English; German is a plus. - Ability to synthesize complex quantitative findings into actionable underwriting decisions. - Team‑oriented, entrepreneurial mindset, and a results‑driven approach to dynamic environments. Required Education & Certifications: - Graduate from an engineering or actuarial program with a focus on computer science, applied mathematics, or data science. - 2–5 years of experience in underwriting or a related role (internships/apprenticeships included).