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Due to rapid growth, at the core of our company’s strategy, we are seeking to expand our Data Science team, either across our Underwriting or our R&D functions. On the one hand, upstream, the R&D team aims at developing new and innovative models thanks to state-of-the-art research to help the Underwriting team meet with efficiency and reliability towards the clients in a 6 months to 3 year timeframe. On the other hand, the Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe. These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners.
Job Responsibility:
Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients
Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction
Collaborating with the business team to understand client needs and issues to further improve our product offering
Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools)
Working autonomously and pragmatically to make appropriate technical decisions with attention to details
Developing new models to improve our understanding of climate risks
Conducting research and identifying new and innovative ideas on the modeling of climate risks and machine learning methods
Testing state-of-the-art methods from scratch based on recent research articles
Collaborating with the Underwriting, Business and Software teams to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs
Requirements:
Graduated from academic institutions/universities with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business
Ideally a previous experience (long-term internship) in data science, insurance or climate data modeling
Proficient in statistics, probabilities, applied mathematics and machine learning methods
Proficient in Python (e.g. pandas, scikit-learn)
Excellent communication (written and verbal)
Fluency in English (written and verbal communication) is required
Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is valued
Eager to learn more on the insurance industry
Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes...)
Excellent team player with an entrepreneurial mindset
Results oriented with the ability to work in a dynamic and multi-cultural environment
Strong desire to learn and commitment to the organization’s mission
Nice to have:
Cat modeling experience is a plus
Eye for quality and attention to detail
What we offer:
Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
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