Senior Data Scientist, Descartes Underwriting
CDI
+ Bonus
More information about location
Parametric insurance against climate risk
Be an early applicant
Parametric insurance against climate risk
101-200 employees
Be an early applicant
+ Bonus
More information about location
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
- Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related
- 4 years of significant experience minimum (post graduation) in data science or related
- Proven track record in leading cross-organisational projects involving a variety of stakeholders
- As a plus: track record of experience in managing a (small) team or supervising & checking the work of co-workers
- As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks
- Proficiency in Python (e.g. pandas, scikit-learn)
- Strong background in statistics and mathematics, showing clear understanding of probabilities
- Eye for quality, autonomous and attention to detail
- Communication of complex technical topics to a business-oriented audience
- Fluency in English (written and verbal communication) is required
- Good level of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is a plus
- Interested in insurance industry and climate risks modeling
- Strong team spirit
- Ability to work under pressure
- Eagerness to solve complex problems and technical challenges
- Rigorous, creative and meticulous mind
- Strong desire to learn and acquire responsibility
- Results oriented with the ability to work in a fast-paced and multi-cultural environment
What the job involves
- Due to rapid growth, at the core of our company’s strategy, we are seeking a Senior Data Scientist to join the Underwriting Team based in Paris
- Reporting to the Underwriting Manager, you will be a key contributor to the development of data science models for the deployment of weather-related solutions for a diverse range of clients
- Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts
- Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients
- Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation
- Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide
- Contribute to & lead cross-organisational initiatives with various divisions of Descartes in order to support the growth and scalability efforts of the company (e.g. Software & Data Engineers, R&D teams, Strategy, Legal, Operations & Risk Management)
- Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements
Application process
- Step 1: HR Interview with our Talent Recruiter
- Step 2: Manager interview
- Step 3: Technical online test (via Github)
- Step 4: Remote technical interview
- Step 5: In person team interview to meet our team and discover our offices
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
56% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2022
$120m
SERIES B
Sep 2020
$18.5m
SERIES A
Total funding: $140.9m
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 HQ
Chaillot, Paris, France
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.
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