59 applicants

Company

Arbol · 14 hours ago

Quantitative Researcher

New York City or Remote US

Full-time

Remote

Entry Level

$90K/yr - $140K/yr

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Computer Software

H1B Sponsor Likely

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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 AnalysisStatisticsTime Series AnalysisClimate Data

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

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.

Founded in 2018

New York, NY, US

51-200 employees

https://www.arbol.io/

H1B Sponsorship

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2022 (1)