Lead Software Engineer, Descartes Underwriting
Scientific Engine, Python, CDI
Parametric insurance for climate, cyber & emerging risks
Open for applications
Parametric insurance for climate, cyber & emerging risks
201-500 employees
Open for applications
201-500 employees
Company mission
To help companies and communities build resilience in a world at risk.
Role
Who you are
- 1 year or more of technical management experience
- Handling human interactions between tech and business
- Experience mentoring a team of software engineers by unblocking complex situations and sharing best practices (code reviews, pair programming..)
- Scoping and defining tech priorities according to roadmap and maintenance
- Excellent communication skills, in both formal and informal settings, and in English and French
- 3 years of experiences as a software engineer or data scientist
- Solid knowledge in Python
- Solid engineering background:
- Master in computer science, mathematics, physics or earth science
- Experience optimizing and profiling python code
- Experience in a microservices architecture
- Good knowledge with Docker
- Solid knowledge production development workflow (code reviews, fast forward git policy, TDD)
- Fluent in English and in French
- 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)
- 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 🗺️)
What the job involves
- Due to our consistent growth, we are seeking to expand our Data, Software and DevOps team
- We are searching for a Lead Software Engineer to manage a team of 4. As team lead, you will oversee:
- The python scientific engine of a business use case
- The processes to make each individual software engineer excel at their work
- Contribute directly on the code base either individually, in pairs or more
- Organize REX sessions to share the knowledge received with the rest of the team
- Ensure compliance to internal standards and practices
- Present the progress and goals
- Contribute to the technical roadmap through architecture meetings, design documents
- Lead & coach your engineer team to consistently deliver according to their roadmap
- Provide expertise to help your team:
- 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 development and continuous integration (CD/CI)
- 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 your 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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