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AI Climate Risk Modeler

Violet Adeyemi

Full-time · Job · Berlin

About the role

Insurance companies need to price climate risk 30 years into the future. Traditional actuarial models use historical loss data that no longer reflects reality — because the climate that generated those losses has changed. Our platform combines climate science projections with ML to model physical risks that haven't happened yet. You'll build risk models for specific perils: hurricane wind speed projections under different warming scenarios, wildfire probability surfaces accounting for vegetation change and urban expansion, and flood risk maps that incorporate sea level rise and changing precipitation patterns. Climate risk modeling sits at the intersection of atmospheric science and financial modeling. You'll translate climate projections from degrees of warming into dollars of expected loss — the output that underwriters actually need. If you can bridge physical science and financial risk quantification, this role is uniquely suited to your skills.

Responsibilities

  • Build physical climate risk models for hurricane, wildfire, and flood perils
  • Translate climate science warming scenarios into financial loss projections
  • Design risk surfaces accounting for vegetation change and urban expansion
  • Validate risk models against historical loss data and climate observations
  • Present risk methodology to insurance underwriting and reinsurance teams

Requirements

  • 5+ years in climate science, catastrophe modeling, or environmental ML
  • Strong PyTorch and statistical modeling skills
  • Understanding of climate projections and physical risk mechanisms
  • Experience with large geospatial datasets and climate data formats
  • Ability to communicate scientific methodology to financial audiences

Benefits

  • Fully remote — European time zones
  • 30 days PTO
  • Senior compensation with equity
  • $4,000 annual research and conference budget

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Categories

data science & analytics AI & Machine Learning Engineers

Skills

python pytorch statistics pandas sql

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

data science & analytics AI & Machine Learning Engineers

Skills

python pytorch statistics pandas sql spark gcp

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