Intermediate/Senior Data Engineer, Descartes Underwriting
Scientific Engine - CDI
+ Bonus
Parametric insurance against climate risk
Open for applications
Parametric insurance against climate risk
101-200 employees
Open for applications
+ Bonus
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
- Knowledge of the tech stack and demonstrated proficiency in production environments
- Minimum 3 years’ experience in Python object-oriented programming
- Experience converting Python code to efficient data engineering tools
- Production experience with Docker
- Production experience with a cloud provider (GCP, AWS or Azure)
- CI/CD and release pipelines
- Good knowledge in English and fluency in French
- Excellent communication skills, in both formal and informal settings, and in English and French
- Contribute to a rigorous data engineering culture
- Propagate Data Engineer best practices to other tech teams
- Well versed in Agile
- Mentoring junior engineers
- 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)
- 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 🗺️)
Desirable
- Prior experience working in data science or scientific computing projects
- Working knowledge of DevOps
- Contribution to an open source project
What the job involves
- We are seeking profiles dedicated to data engineering. At the core of the development of our scientific engine modeling climate phenomena, your main missions will be to create, improve and maintain the data pipelines used to train our model and infer the different scenarios to make a climate risk assessment
- You will have to take initiative and assess the viability of proof-of-concept projects
- You will have to work with data scientists and software engineers to run and develop our models. You will be working alongside DevOps engineers to reliably put models in production and selected the compute/store instance needed to perform these tasks
- Your secondary mission will be to automate the flow of information between the tech and business to monitor climate events
- Data pipelines and associated datalakes
- Connections to external and internal APIs
- Associated CI/CD and release pipelines
- Notification tools to inform the team of the status of the operations
- Assessing the pains and needs of the teams
- Benchmarking different solutions
- Assessing the security, price and reliability of data architecture
- Following the development the evolution of technologies on the topic
- Forecasting and tracking cloud spend
- Tech stack evolution
- Discussions with tech partners
- Training of other tech teams
- Support and debug of internal users
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: $140.6m
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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