Risk Management Data Scientist - CDI

Company:  Descartes Underwriting
Location: Paris
Closing Date: 16/11/2024
Salary: £60 - £80 Per Annum
Type: Temporary
Job Requirements / Description
ABOUT DESCARTES UNDERWRITINGDescartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 17 global offices in North America, Europe, Australia, Singapore, Hong Kong and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities.ABOUT YOUR ROLEDescartes Underwriting is seeking a Risk Management Data Scientist to join our Risk Management Actuarial Team.At the core of our company’s strategy, your missions will focus on making direct contributions to the development of new risk models or forecasting tools.Your key missions will include:Improve or develop new algorithms, new risk models and products to monitor the portfolioIdentify, implement and deploy new statistical methods to differentiate Descartes from its competitorsTake part in the development of Descartes’ technological platformCollaborate with the teams to understand needs and issues to further strengthen our technical excellenceWork autonomously and pragmatically to make appropriate technical decisions.ABOUT YOUEXPERIENCE QUALIFICATIONSMasters student in computer science, applied mathematics, statistics or meteorological studiesIdeally a previous experience (long-term internship) in data science or climate modelingProficiency in statistics and applied mathematics methodsCapability of building high-performance algorithmsProficiency in Python.LANGUAGESFluency in English (written and verbal communication) is requiredGood command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is valued.MINDSETInterested in weather and natural perils modeling (wildfires, hail, tsunamis, earthquakes etc)Interested in Risk Actuarial topicsStrong team spirit and ability to work under pressureHighly motivated, able to meet deadlines setStrong desire to learn and commitment to the organization’s missionResults oriented, high energy, with the ability to work in a dynamic and multi-cultural environmentMotivated to help improving businesses’ and communities’ resilience to climate changeEagerness to work in an international environment.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 excellenceCommitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)Work in a collaborative professional environmentBe part of an international team, passionate about diversityJoin a company with a true purpose – help us help our clients be more resilient towards climate risksA competitive salary, bonus and benefitsYou can benefit from punctual home office days.RECRUITMENT PROCESSStep 1: HR Interview with our Talent RecruiterStep 2: Technical online testStep 3: Remote technical interviewStep 4: In-person team interview to meet our team and discover our offices (held remotely if you are abroad)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 #J-18808-Ljbffr
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