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Economic Modeling Jobs in California (NOW HIRING)

Experience in Statistical and Econometric Modeling: CCAR, BASEL, Credit Risk and Economic Modeling in Banks CCAR/DFAST Stress Testing: Model Development Credit Risk Modeling: Application/Behaviour ...

Experience with financial and techno-economic modeling. Responsibilities: * Identify opportunities to develop criteria and methodologies for incorporating flexible load resources into planning ...

Operations Data Analyst, Expert

Oakland, CA ยท On-site

$77.14 - $82.14/hr

Experience with financial and techno-economic modeling. Responsibilities: Identify opportunities to develop criteria and methodologies for incorporating flexible load resources into planning ...

Experience with financial and techno-economic modeling. Responsibilities: * Identify opportunities to develop criteria and methodologies for incorporating flexible load resources into planning ...

Senior Economist

Los Angeles, CA ยท On-site

$200K - $300K/yr

... modeling, data analysis, and economic research while supporting expert reports and client deliverables. The role also includes managing junior staff, ensuring quality of analysis, and collaborating ...

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Analyze data and develop financial and techno-economic models. * Support DER valuation, load management, and grid planning initiatives. * Develop forecasts, dashboards, visualizations, and executive ...

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Showing results 1-20

Economic Modeling information

See California salary details

$32.6K

$106.2K

$147.5K

How much do economic modeling jobs pay per year?

As of Sep 14, 2026, the average yearly pay for economic modeling in California is $106,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $115,000.00 per year, depending on experience, location, and employer.

What is economic modeling?

An Economic Modeling job involves using mathematical and statistical techniques to analyze economic data, forecast trends, and evaluate policies or business decisions. Professionals in this role develop models to simulate economic scenarios and assess the potential impact of various factors, such as policy changes, market fluctuations, or consumer behavior. They work in industries like government, finance, consulting, and academia to provide data-driven insights that support decision-making. Strong analytical skills, proficiency in software like Python, R, or Excel, and a background in economics or finance are typically required.

What are the key skills and qualifications needed to thrive in economic modeling?

To thrive in Economic Modeling, a strong background in economics, statistics, and mathematics is essential, typically supported by at least a bachelor's degree in a quantitative field. Familiarity with econometric software and programming languages such as R, Python, SAS, or Stata is highly valued, along with certifications in data analysis or applied economics. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly are crucial soft skills for this role. These skills enable professionals to develop accurate models and deliver actionable insights that support evidence-based decision-making in business or policy.

What are the common challenges faced in economic modeling?

One of the primary challenges in Economic Modeling is ensuring the accuracy and reliability of complex forecasts in the face of uncertain or incomplete data. Economic modelers must regularly update and recalibrate models to reflect changing market conditions, regulations, and global events. Collaboration with data analysts, business leaders, and policy experts is often required to validate assumptions and interpret results. Successfully balancing theoretical rigor with practical application is key, and continuous learning is important for staying current with new modeling techniques and technologies.

What do economic modeling do?

Economic modeling involves creating mathematical representations of economic systems to analyze and forecast economic behavior, policy impacts, and market trends. Economists use tools like statistical software and data analysis to develop these models, which support decision-making in finance, government, and business environments.

What are popular job titles related to Economic Modeling jobs in California?

For Economic Modeling jobs in California, the most frequently searched job titles are:

What job categories do people searching Economic Modeling jobs in California look for?

The top searched job categories for Economic Modeling jobs in California are:

Infographic showing various Economic Modeling job openings in California as of September 2026, with employment types broken down into 82% Full Time, and 18% Temporary. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $106,185 per year, or $51.1 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 13 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.