Senior Software Engineer Scientific Engine (Python) -CDI

ABOUT DESCARTES UNDERWRITING Join Descartes and contribute to our mission: Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide companies and institutions. Descartes was born from a conviction that the growing complexity of corporate and climate risks demands a new approach to insurance. At the forefront of AI and Data analysis, Descartes utilises cutting-edge technology combined with a new generation of data sources, to model, assess and manage risks. Since 2019, Descartes has secured a leading position in parametric (re)insurance combining scientific & technological expertise with a new approach. Parametric insurance , also known as index-based insurance, indemnifies clients within days based on pre-defined payout structures when a specific triggering event occurs, the payout process is both fast and transparent. The company has been financed with over $141M by investors including Highland Europe, BlackFin, Serena, Cathay, Eurazeo and Battery Ventures. Our highly diverse and specialized team of 250+ people includes the largest modelling team in the industry featuring tech and modeling innovators, scientists in physics and climatology, as well as insurance veterans and underwriters. With a global footprint and strong US presence, Descartes serves a diverse portfolio of clients in more than 60 countries, with 20+ offices spread across Europe, Asia-Pacific, Latin and North America. Find out more on https://descartesunderwriting.com/careers . ABOUT YOUR ROLE Due to our consistent growth, we are seeking to expand our Data, Software and DevOps team. We are searching for a Senior Software Engineer to mentor 1 to 2 Software Engineers. As a Senior, you will oversee: The python scientific engine of a business use case The processes to make each individual software engineer excel at their work As part of your missions, you will be working with different teams across the organization including Underwriting, R&D, Insurance Operations, and Business development. Statistics and ML are at the core of your expertise but your toolset should also include more advanced AI methods. You are accountable for deploying and maintaining solutions. You should therefore promote the value of clean architecture and software development life cycle best practices. 🔔 KEY MISSIONS 🔔 Contribute directly on the code base either individually, in pairs or more Organize REX sessions to share the knowledge received with the rest of the team Ensure compliance to internal standards and practices Present the progress and goals Contribute to the technical roadmap through architecture meetings, design documents Coach your collaborators to consistently deliver according to their roadmap Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models Data collection, preparation and visualization Export of outputs adapted to users Testing and validation of existing solutions Monitoring of contracts and associated data Support, test and correct the tools of: Continuous development and continuous integration (CD/CI) Data storage Version management of scrips, codes, languages and computer systems Modularization and containerization of IT solutions Connection to external and internal API’s To participate in: The assessment and definition of user needs Modeling the risks of underlying contracts The choice of technical solutions Discussions with IT partners Improving the skills of your technical staff Managing the access and rights of users of internal tools TECH STACK 🖥️ Cloud provider: GCP Code versioning tool: Git + Gitlab OS: Windows Code base: Python ABOUT YOU EXPERIENCE & QUALIFICATIONS 💻🖥️ [Management skills] Coaching or mentoring experience; Scoping and identifying solutions with business team; Handling human interactions between tech and business; Excellent communication skills, in both formal and informal settings, and in English and French. [Hard skills] 3 years or more of experiences as a software engineer or data scientist; Solid knowledge in Python; Solid engineering background: master in computer science, mathematics, physics or earth science. Experience optimizing and profiling python code; Experience in a microservices architecture; Good knowledge with Docker; Solid knowledge of production development workflow (code reviews, fast forward git policy, TDD); Fluent in English and in French. MINDSET 💥 Strong interest with climate issue (it’s not a hoax, many people suffer from it) Being comfortable to work alongside corporate insurers (some still wear suits 👔) You enjoy CI/CD automation (or at least appreciate the elegance of a well-crafted pipeline) Willingness to help junior developers (remember how you were when you started 💬) Strong team spirit and ability to work (you’ll have to review code and have your code reviewed) Rigorous, creative and meticulous mind (we handle large insurance, we take our time) Strong desire to learn (there’s no limitation to the tech used, we’re happy to test and learn new tools) Eagerness to work in a multi-cultural environment (policies and teams are from all around the world 🗺️) WHY JOIN DESCARTES UNDERWRITING? Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence; Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.); Work in a collaborative & professional environment; Be part of an international team, passionate about diversity; Join a company with a true purpose – help us help our clients be more resilient towards climate risks; A competitive salary, bonus and benefits; You can benefit from a punctual home office days. At Descartes Underwriting, we cherish value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS Step 1: Call and HR Interview with our Talent Recruiter Step 2: Technical project submitted via GitHub Step 3: Technical interview Step 4: Manager interview Step 5: Final round interview with the team (Candidates can opt to have the manager interview before the technical project and interview)