Natural disasters have a devastating impact on millions of people every year, cost billions in economic losses and reverse hard-won development gains in emerging economies. Climate change is already exacerbating these effects. But technology and data science advancements have opened the door to a powerful new tool to address this: parametric insurance provides an innovative means of transferring disaster risk to the international risk markets. Using satellite and other weather data as a proxy for losses on the ground, parametric insurance triggers payouts automatically when data indicates a disaster has struck. This has become a go-to risk transfer tool for governments and relief agencies to quickly access large volumes of liquidity after a catastrophe to provide emergency funding to affected populations.

AXA has been developing market-leading expertise in parametric since 2014, building out a team of data scientists, climatologists and underwriters that specialize in all types of weather and climate risks as well as big data technologies. Driven by the success of its parametric solutions, AXA launched AXA Climate as a subsidiary in 2017 which is now active in over 40 countries. AXA Climate is now expanding its offering to help reduce climate risk by providing consulting services focused on climate change adaptation measures, early warning services, parametric insurance scheme design as well as financing tools for risk reduction investment.

The fast-growing, young and dynamic team is based out of Paris with offices in London, Shanghai, Singapore and Santiago. As a relatively new entity, the team works in a start-up mode but also benefits from the strong brand and support of AXA Group, a world leader in insurance with a footprint in 57 countries and annual revenue of ~EUR 100 bn. With this backing, AXA Climate is accelerating its expansion and providing more and more people with the means of addressing weather and disaster impacts and the threat of climate change. 

Our purpose is to help Planet Earth become a true stakeholder of all companies, in the same way that employees, customers and shareholders are.

AXA Climate’s desire is to innovate in terms of corporate culture so that everyone can flourish and develop all its potential. Our culture is therefore a flat organization, without managers, but with strong rituals. AXA Climate developed 4 business lines to serve its purpose: Insurance, Training, Consulting, Financing.

 Vos missions :

With a strong expertise in modeling climate risks, AXA Climate is investing on Nature protection (understanding and modelling links between climate and nature, quantify biodiversity impacts and dependencies, boost the green transition, etc).

AXA Climate is looking for an intern who will support the team in improving its risk analysis with weather-based models, advanced statistics and satellite-based imagery processing. 

Its mission will be focused on index design and modeling of risks related to the wildfire in the forestry sector. The mission is strongly R&D oriented, and the key success will depend on the capabilitiy to quantify the vulnerability of a forest stand regarding wildfire.

Responsabilités principales :

Working closely with the Science Domain and in partnership with the underwriting team responsible for AXA Climate’s innovative parametric insurance product, the intern will:

-        Contribute actively to scientific and technical developments of new risk models:

·       Process satellite images: Develop statistical models for various risks

·       Explore and test other sources of data: radar, satellite, new providers…

·       Identify key issues surrounding risk and propose solutions

-        Support the underwriting of parametric products:

·       Evaluate and validate partnerships with model and risk providers

·       Explain technical concepts and share modeling approaches with team

·       Prepare technical elements for meetings with stakeholders and clients

Your Profil :

Education:

·      Grandes Écoles d’Ingénieurs (X, Centrale, École des Ponts, Mines, AgroParis Tech, ENSTA, ENSAE…)

·      MSc in top universities (Paris-Saclay, Dauphine, Imperial College, ETH Zurich, EPF Lausanne…) 

Skills

·      Strong scientific skills: statistics, probabilities, forestry

·      Python or R mandatory,

·      Google Earth Engine and Netlogo would be a plus

·      Treatment of various data sets: reanalysis, satellite, radar, etc.

·      Soft skills: strong autonomy, Integrity, Team spirit

Experience / Background:

·      Studies in Data Science, Statistics and Applied Mathematics.

·      Knowledges in forestry.

Languages

·       Fluency in English required, fluency in French desired

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