Senior R&D Data Scientist, Descartes Underwriting
CDI
+ Bonus
Office located in Rue de Courcelles, Paris
Parametric insurance against climate risk
Open for applications
Parametric insurance against climate risk
101-200 employees
Open for applications
+ Bonus
Office located in Rue de Courcelles, Paris
101-200 employees
Company mission
To create a new generation of parametric solutions: fully transparent, customised to the client’s needs and providing swift claims payment.
Role
Who you are
- Scientific academic background
- From 5 to 10 years of experience in R&D and data science
- Strong skills in Statistics, Applied mathematics, and Machine Learning methods
- Proven track record of significant individual contributor roles for solving complex problems and of contribution and leading the design and development of parts of a model
- Ideally a previous experience in actuarial or modelling role in an insurance or reinsurance company
- Proficiency in Python
- Fluency in French and English (written and verbal communication) is required
- Good command of one additional language (e.g. Chinese, Italian, German, Spanish…) is valued
- Interested in traditional risks (property damage,…) and emerging risks modeling (cyber,…)
- Strong team spirit and ability to work under pressure
- Eagerness to solve complex problems and technical challenges
- Rigorous, creative and meticulous mind
- Strong desire to learn and commitment to the organization’s mission
- Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment
- Motivated to help improving businesses’ and communities’ resilience to climate change
What the job involves
- Descartes Underwriting is seeking a Senior R&D Data Scientist to join our R&D Team
- At the core of our company’s strategy, your missions will focus on making direct contributions to the development of new models for New business lines (Cyber, etc)
- You will report directly to the R&D Manager
- Conduct research on the modeling of traditional risks (property damage, …) and emerging risks (cyber…) and machine learning methods
- Identify new and innovative ideas and testing state-of-the-art methods based on recent research articles
- Collaborate with the underwriting and business teams to ensure our products are efficiently integrated into the underwriting process and meet our clients’ needs
- Propose models developments or features that are technically and economically aligned with company’s strategy
- Take part and help in new products/existing models, translating and combining multiple research ideas and solutions into a new product or module
- Lead the improvement and/or development of new models to enhance and strengthen our understanding of emerging risks
- Be a referent for junior R&D Data Scientists and provide them guidance on technical modeling matters
- Give relevant technical advice to Underwriting for their daily underwriting activities and Innovation teams during the product development phase
- Suggest improvements in software or infrastructure challenges
Application process
- Step 1: HR Interview with our Talent Recruiter
- Step 2: Technical online test
- Step 3: Remote technical interview
- Step 4: In person team interview to meet our team and discover our offices (held remotely if you are abroad)
Our take
The corporate insurance market is undergoing a momentous shift driven by a changing climate, the growing impact of natural catastrophes, and a rise in emerging risks. Climate change has become a real risk to businesses - one Nature report, for example, found that the US alone could lose over $500 billion across 22 sectors if rising global temperature predictions materialise. The need for effective corporate insurance has never been higher.
Descartes Underwriting is looking to revolutionise how we approach insurance. Taking on one of the insurance industry’s traditional methods - catastrophe (CAT) risk modelling - Descartes is leveraging new data sources and fusing them with a host of AI algorithms. This provides what it describes as a “product offering which covers the full spectrum of natural catastrophes and emerging risk exposures.” Its AI-driven parametric insurance model is highly disruptive, and has proven highly successful - just a few years after its founding, Descartes had already become the leading InsurTech player worldwide.
Following major funding, Descartes is looking to scale up its approach to corporate and public entity risk exposures, growing its technology platform, expanding into new lines of business and targeting larger deals. With an existing client base spanning hundreds of corporations including a host of Fortune 500 companies, Descartes looks set for big things in the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jan 2022
$120m
SERIES B
Sep 2020
$18.5m
SERIES A
Total funding: $140.7m
Company benefits
- Work in a rewarding and international environment
- Gain exposure to working with top management
- Continued learning and development (think annual seminars, training etc.)
- Frequent team events
- Work in a collaborative and professional environment
- Benefit from a hybrid way of working
Company values
- Think & build globally from the first iteration
Company HQ
Chaillot, Paris, France
Articles
Leadership
Tanguy Touffut
(CEO)Previously Global Head of Parametric Insurance at AXA Corporate Solutions, then CEO of AXA Global Parametrics.
Sebastien Piguet
(Chief Underwriting Officer)Previously Head of On-Demand Insurance Products at AXA Global Parametrics.
Kevin Dedieu
(Chief R&D Officer)Previously a Senior Consultant at MPG Partners. Also a visiting lecturer at École Polytechnique.
Salary benchmarks
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Diversity, Equity & Inclusion at Descartes Underwriting
- At Descartes Underwriting we value diversity across multiple dimensions – cultural, cognitive, leadership & experience. Our diverse multilingual and multicultural team is core to our value proposition, allowing us to think & build globally from the first iteration. We seek talents who will add additional analytical perspectives & insights
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