Quantitative Researcher @ Arbol | Jobright.ai
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Arbol ยท 8 hours ago

Quantitative Researcher

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Responsibilities

Design and implement machine learning approaches for forecasting and generative modeling
Develop models for climate and weather perils such as heat waves, severe convective storms, and tropical cyclones
Build robust training and validation pipelines for climate datasets
Work with risk and insurance teams to perform business-critical analytics

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonData AnalysisStatisticsClimate DataTime Series DataGraduate DegreeResearch Experience

Required

BA in statistics, computer science, mathematics, or related quantitative field
Experience programming in Python
Experience analyzing large datasets
Strong problem solving and analytical skills

Preferred

Graduate degree and/or research experience in a quantitative field
Comfort with statistics (e.g., linear regression, hypothesis testing)
Experience working with time series and/or climate data

Benefits

Comprehensive health, dental, and vision coverage
Optional flexible spending account (FSA)
401(k) match
Flexible PTO

Company

Arbol

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Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk.

H1B Sponsorship

Arbol has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)

Funding

Current Stage
Growth Stage

Leadership Team

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Hong Guo
CEO, Arbol Underwriters Ltd. (Bermuda MGU)
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Siddhartha Jha
Founder & CEO
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Company data provided by crunchbase
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