Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials

Overview

Jupiter Intelligence is a company founded in 2017 that models physical climate risk for specific assets and time horizons. It combines climate science with machine learning to estimate flood, wind, heat, wildfire and drought exposure building by building, decades ahead. Banks, insurers, utilities and governments use the analytics for capital planning and regulatory disclosure.

News

How Extreme Weather Is Reshaping Credit Risk-and Opportunities-for Banks
Extreme weather is moving from a distant environmental concern to a direct financial risk for banks and other financial institutions, analysts from Jupiter Intelligence said during a recent ProSightwebinar. Risk managers increasingly recognize that hurric
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Report
Joint Industry Statement from Europe's private providers on the future of climate services
This joint statement reflects the consensus of the private providers' community and is endorsed by 17 leading private climate service providers.
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Report
Arcadis and Jupiter introduce PRICE framework
Arcadis and Jupiter Intelligence introduce PRICE framework to help organizations close the climate adaptation investment gap
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Report

Technologies

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Tech DNA
Python
AWS
Azure
GCP
AI/ML
Python
AWS
Azure
Docker
GCP
Polars
Time Series Forecasting
Stack modernity Modern
67/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python 1 job Required
$120k -33% vs market
Polars 1 job Required
$120k +2% vs market
GCP 1 job Required
$120k -37% vs market
Azure 1 job Required
$120k -28% vs market
AWS 1 job Required
$120k -35% vs market
Docker 1 job Required
$120k -23% vs market
Time Series Forecasting 1 job Required
$120k -41% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
23%
AWS
18%
Docker
15%
Azure
14%
GCP
13%
Time Series Forecasting
3%
Share of companies in the same industry that use each technology.
Stack changes
Time Series Forecasting Sep 2026
Python Sep 2026
Polars Sep 2026
GCP Sep 2026
Docker Sep 2026
Azure Sep 2026
AWS Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
28/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
ATS activity
Every ~1 days
Today
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
100%

Jobs

Quantitative Developer, Economic Modeling - Contractor

Verified live · 1 hour ago 1 day ago
$100k – $120k per year • Remote • Contractor • San Mateo
Python
Polars
Time Series Forecasting
DevOps
AWS
Azure
Docker
GCP
Apply