Software Engineer Scientific Engine, Descartes Underwriting
Python, CDI
Offers bonus
Parametric insurance for climate, cyber & emerging risks
Be an early applicant
Parametric insurance for climate, cyber & emerging risks
201-500 employees
Be an early applicant
Offers bonus
201-500 employees
Company mission
To help companies and communities build resilience in a world at risk.
Role
Who you are
- 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)
- Contribute to a rigorous data engineering culture
- Ability to understand break epic track in achievable issues
- Excellent communication skills, in both formal and informal settings, and in English and French
- Mentoring junior engineers
- Strong interest in climate issues (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)
- Willingness to help junior developers (remember how you were when you started 💬)
- 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
- Experience working with public API with python
- Experience optimizing and profiling python code
- Experience in a microservices architecture
- Experience in HPC
- Contribution to an open source project
What the job involves
- Due to our consistent growth, we are seeking to expand our Data, Software and DevOps team
- 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
- 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
Application process
- Step 1: Call and HR Interview with our Talent Recruiter
- Step 2: Technical project submitted via GitHub
- Step 3: Technical interview
- Step 4: Manager interview
- Step 5: Final round interview with the team
- (Candidates can opt to have the manager interview before the technical project and interview)
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 HQ
Plaine-Monceau, Paris, France
Leadership
Tanguy Touffut
(Co-Founder & CEO)Previously Global Head of Parametric Insurance at AXA Corporate Solutions, then CEO of AXA Global Parametrics.
Sebastien Piguet
(Co-Founder & Chief Underwriting Officer)Previously Head of On-Demand Insurance Products at AXA Global Parametrics.
Kevin Dedieu
(Co-Founder & Chief Scientific Officer)Previously a Senior Consultant at MPG Partners. Also a visiting lecturer at École Polytechnique.
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