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Environmental Economics Modeling Manager Jobs (NOW HIRING)

Knowledge of computer software used in economic models. * Knowledge of computer software used in database management and quantitative analysis. * Knowledge of basic financial analysis principles.

Associate, Modeling Medicus Economics | Boston, MA (preferred) or remote | Full Time Medicus ... Ability to manage multiple complex tasks independently. Why Medicus? We are a small, nimble, and ...

Senior Economist

Seattle, WA ยท On-site

$104K - $132K/yr

... models. Economists at Amazon are expected to work directly with our senior management and ... paced business environment. - Strong research track record. - Effective verbal and written ...

Economist I

Seattle, WA ยท On-site

... work environment. Economists at Amazon partner closely with senior management, business ... Amazon Economists build econometric models using our world class data systems and apply approaches ...

Support pricing strategy work, including deal economics modeling, discounting analysis, and pricing ... SaaS environment. Experience with FP&A or budgeting software (e.g., Adaptive Insights, Anaplan ...

... work environment. Economists at Amazon partner closely with senior management, business ... Amazon Economists build econometric models using our world class data systems and apply approaches ...

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Environmental Economics Modeling Manager information

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How much do environmental economics modeling manager jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for environmental economics modeling manager in the United States is $30.09, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $33.65 per hour, depending on experience, location, and employer.

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Infographic showing various Environmental Economics Modeling Manager job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $62,585 per year, or $30.1 per hour.

Quantitative Economic Modeling - Contractor

San Mateo, CA โ€ข On-site, Remote

Jupiter Intelligence, Inc.
Software Developmentย โ€ขย 51 - 200 employees

$50 - $60/hr

Contractor

Posted 9 days ago


Job description

About Us
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. We are led by pioneers in data, climate, and earth and ocean sciences, as well as technology, risk management, company building, and public policy. Our climate risk modeling solutions save lives and mitigate potentially catastrophic impacts inflicted by hurricanes, floods, heat waves, wildfires, drought, and other extreme weather events on homes, businesses, infrastructure, food and water supplies, and entire economies.
Jupiter is also committed to the world community. Through our Jupiter Promise initiative we provide services to under-resourced countries and communities to promote sound decision making while including the potential impacts of climate change. Employees are encouraged to provide their expertise to various programs under the Jupiter Promise initiative.
Jupiter is bringing diversity to prepare a diverse planet for our changing climate. Jupiter was founded on the principle that with the right approaches and the right team, we can prepare Earth's economies to meet the challenges associated with climate change. The world is a diverse place; a diverse workforce in an inclusive environment is essential to meet our goals. We go forward together.
Join Jupiter's Product organization to help build the risk engine behind our economic modeling. Working directly with the Principal PM, for Economic & Financial Modeling, you will translate climate hazard data into actionable financial metrics like EBITDA impact, CapEx/OpEx, and credit risk.
This is an associate-level, development-focused contract role designed for someone with solid Python and data engineering skills alongside a foundation in economics or finance. You will spend your time building and scaling model infrastructure while expanding your financial domain knowledge on the job through direct mentorship.
What You Will Do
  • Build & Scale Pipelines: Write modular, well-tested Python code to move models from research prototypes into production pipelines across large company and asset datasets.
  • Support Model Research: Assist in prototyping statistical, econometric, and machine learning models (e.g., time-series analysis, regression) to project climate hazard impacts.
  • Data Engineering: Source, clean, and transform diverse financial, building, and hazard datasets, resolving missing data or anomalies.
  • Cross-Functional Collaboration: Partner with engineering, product, and client teams to document outputs and communicate analytical findings clearly.

What You Will Bring
  • Degree in a quantitative field (Computer Science, Finance, Economics, Statistics, or related discipline) or equivalent practical experience.
  • Effective Python coding skills with a focus on writing clean, production-quality code (rather than one-off scripts).
  • Foundational understanding of finance or economics and an eagerness to learn more.
  • Basics of data engineering (sourcing, transforming, cleaning data) and standard git workflows.
  • Ability to work both independently as well as collaboratively with multiple teams.

What Sets You Apart
  • Experience working with large datasets, Docker, cloud environments (AWS/GCP/Azure), or tools like pandas/Polars.
  • Coursework, projects, or practical exposure in financial modeling, credit risk, or physical climate risk.
  • Coursework or experience in financial engineering, credit risk, or quantitative modeling.

$50 - $60 an hour
At Jupiter we value transparency and have a compensation plan where your full-time rate will vary depending on your location and confirmed job-related skills and experience. For part-time roles, your compensation will be adjusted to reflect your hours. Base Pay is based on several factors including but not limited to education, work experience, certifications, etc.
When we say Jupiter Intelligence is an Equal Opportunity Employer, we are not just adding a legal addendum. Of course, we do not discriminate:
Jupiter Intelligence is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.
In fact, we celebrate our differences as our strength and actively work to build an inclusive environment for all. If we can do anything to improve your application and interview process, please let us know!
Please also note: Successful candidates must be authorized to work in the US
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.