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. At the core of our company, your missions will focus on: Testing and refactoring code already used in existing project; Introducing object oriented patterns in functional code; Harmonizing data structures to streamline computation pipelines; Time profiling and optimizing python code; Implementing and testing scientific models. 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 🔔 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 integration and continuous development (CI/CD); 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 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 💻🖥️ [Hard skills] Solid knowledge in one of the following languages python, C/C++ or java; Good knowledge in python; Solid scientific background: - Master in computer science, mathematics, physics, climate science; - Contact with scientific domain (e.g. robotic, physics engine in video game, data science). Production with Docker; Experience in TDD; Good knowledge in English and fluency in French; Familiar with production development workflow (code reviews, fast forward git policy). [Soft skills] Contribute to a rigorous data engineering culture; Ability to understand break epic track in achievable issues; Excellent communication skills...