ZipRecruiter

Log In

1

Economic Modelling Jobs (NOW HIRING)

ISO New England, Inc.

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Experience in electricity consumption modelling or economic modelling in the energy sector * Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or ...

Amazon

Senior Manager, TV Strategy

Culver City, CA · On-site

... in economic modelling, performance forecasting, and reporting frameworks, continuously evolving internal tools and methodologies to sharpen decision-making and improve team efficiency Synthesize ...

GHD Group

Lead - Onshore Wind - North America

Houston, TX · On-site

$97K - $128K/yr

Undertake/oversee LCOE analyses and techno-economic modelling. * Build a multi-disciplinary team; leverage Global Collaboration Centres to standardize deliverables and scale cost-competitively. What ...

Amazon

Senior Manager, TV Strategy

Culver City, CA · On-site

... in economic modelling, performance forecasting, and reporting frameworks, continuously evolving internal tools and methodologies to sharpen decision-making and improve team efficiency Synthesize ...

Costello Medical

Health Economist

Boston, MA · On-site

$75K - $80K/yr

Experience of having applied economic and mathematical modelling techniques in an industry setting Benefits About Costello Medical Costello Medical is a rapidly growing global healthcare agency ...

Costello Medical

Health Economist

Boston, MA · Hybrid

$75K - $80K/yr

Experience of having applied economic and mathematical modelling techniques in an industry setting Benefits About Costello Medical Costello Medical is a rapidly growing global healthcare agency ...

Costello Medical

Health Economist

Boston, MA · On-site

$75K - $80K/yr

Experience of having applied economic and mathematical modelling techniques in an industry setting Benefits About Costello Medical Costello Medical is a rapidly growing global healthcare agency ...

Costello Medical

Senior Health Economist

New York, NY · Hybrid

$100K - $125K/yr

Formal degree-level or higher (i.e. postgraduate) training in statistics or health economic modelling is desirable, though not required * Excellent written and oral communication skills and the ...

Costello Medical

Senior Health Economist

New York, NY · On-site

$100K - $125K/yr

Formal degree-level or higher (i.e. postgraduate) training in statistics or health economic modelling is desirable, though not required * Excellent written and oral communication skills and the ...

Costello Medical

Senior Health Economist

Boston, MA · On-site

$100K - $125K/yr

Formal degree-level or higher (i.e. postgraduate) training in statistics or health economic modelling is desirable, though not required * Excellent written and oral communication skills and the ...

Costello Medical

Senior Health Economist

New York, NY · Hybrid

$100K - $125K/yr

Formal degree-level or higher (i.e. postgraduate) training in statistics or health economic modelling is desirable, though not required * Excellent written and oral communication skills and the ...

next page

Showing results 1-20

All JobsEconomic Modelling Jobs

Economic Modelling information

See salary details

$31K

$73.3K

$130K

How much do economic modelling jobs pay per year?

As of Jul 14, 2026, the average yearly pay for economic modelling in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In economic modeling, high-earning roles such as senior quantitative analysts, chief economists, or partners at major financial firms can reach or exceed $1 million annually, often through a combination of salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong analytical skills, and extensive experience in finance or economics. Compensation varies widely based on industry, location, and individual performance.

What is economic modelling?

Economic modelling is the process of creating mathematical frameworks and simulations to represent economic processes, relationships, or systems. These models help economists analyze complex scenarios, forecast outcomes, and evaluate the impact of policy decisions or market changes. Economic models can be simple or highly complex, depending on the variables and assumptions involved. They are widely used in government, academia, and business to guide decision-making and understand economic dynamics.

What is the difference between Economic Modelling vs Data Analyst?

AspectEconomic ModellingData Analyst
Required CredentialsDegree in Economics, Finance, or related field; often requires advanced degreesBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often in finance, government, or consulting firmsBusiness or tech companies, analyzing large datasets
Employer & Industry UsageUsed in economic forecasting, policy analysis, financial modelingUsed in marketing, operations, and business intelligence

Economic Modelling and Data Analysts both work with data, but Economic Modelling focuses on creating economic forecasts and financial models, often requiring advanced economics knowledge. Data Analysts interpret data to inform business decisions, typically with a stronger emphasis on data manipulation and visualization. While overlapping skills exist, their primary applications and industries differ.

What jobs can you do with financial modelling?

Financial modelling skills are essential for roles such as financial analyst, investment analyst, corporate finance analyst, and risk analyst. These jobs involve building financial models to support decision-making, valuation, budgeting, and forecasting using tools like Excel and financial software. Strong analytical skills and understanding of accounting and economics are also important for these positions.

What do economic models do?

Economic modelling involves creating mathematical or computational representations of economic systems to analyze and predict economic behavior and outcomes. Economic modelers use these models to inform policy decisions, forecast market trends, and evaluate the potential impact of economic changes, often utilizing tools like statistical software and data analysis techniques.

What are some common challenges faced by professionals in economic modelling roles, and how can they be addressed?

Economic modelling professionals often encounter challenges such as managing incomplete or inconsistent data, adapting models to rapidly changing economic conditions, and effectively communicating complex findings to non-technical stakeholders. Addressing these issues typically involves collaborating closely with data analysts and subject matter experts to enhance data quality, staying current with economic trends, and developing strong presentation skills to translate technical results into actionable business insights. Proactively seeking feedback and participating in cross-functional teams can also help in overcoming these challenges and delivering impactful work.

What jobs pay 500,000 a year in the US?

In the field of economic modeling, senior roles such as Chief Economist, Director of Economic Research, or senior quantitative analysts at large financial firms can reach or exceed $500,000 annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and strong analytical skills with tools like statistical software and economic modeling platforms.

What are the key skills and qualifications needed to thrive as an Economic Modeller, and why are they important?

To thrive as an Economic Modeller, you need a strong background in economics, mathematics, and statistical analysis, often supported by a degree in economics or a related field. Proficiency with technical tools such as Excel, statistical software (e.g., Stata, R, or Python), and econometric modelling platforms is typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly help individuals stand out in this role. These skills are crucial for producing accurate forecasts, informing policy or business decisions, and effectively conveying model insights to stakeholders.
More about Economic Modelling jobs
What cities are hiring for Economic Modelling jobs? Cities with the most Economic Modelling job openings:
What states have the most Economic Modelling jobs? States with the most job openings for Economic Modelling jobs include:
What job categories do people searching Economic Modelling jobs look for? The top searched job categories for Economic Modelling jobs are:
Economic Modelling jobs near you
Infographic showing various Economic Modelling job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Data Scientist

Data Scientist

ISO New England, Inc.

Windsor, CT • On-site

$117K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England's ongoing transition to clean energy.
New technologies and the New England region's economy-wide decarbonization efforts are driving a profound transformation in the work of the Forecast Group within System Planning. Responsible for analytics and predictive modeling of the region's electricity demand across all timescales-spanning both short-term and long-term time horizons-the Forecast Group is innovating and redesigning its forecasting methods, software, and tools to meet changing trends in how retail customers procure, manage and use electricity.
This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. This position will be focused on long-term forecasting, with potential opportunities to work in long-range forecasting as well. The candidate will have an opportunity to lead the team's development of next generation forecasting tools that are integral to the planning and operation of the future grid.
NOTE: This role is currently located in Windsor, CT until it permanently moves to Holyoke, MA, which is currently expected to occur in 2028.
What we offer you:
  • A stable, mission-driven workplace where your impact truly matters
  • A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing
  • Competitive compensation with a base salary + performance bonus
  • Robust benefits package, including:
    • Enhanced 401(k) and financial planning support
    • Tuition reimbursement and professional development
    • Wellness programs, including an onsite gym
    • Flexible work hours
    • Employee Business Networks
    • Onsite luncheon spaces with free coffee and a variety of dining options
  • Hybrid work environment (3 days/week onsite)
  • Distance-based relocation assistance available

How you will make an Impact
  • Work independently and collaboratively on analytical, programming, modelling, and data management activities
  • Map out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutions
  • Leverage a curious mindset, initiative, and "elbow grease" to enhance existing processes, and to innovate new forecasting methods, tools, and software
  • Communicate complex, technical content to a diverse audience through written reports and presentations
  • Apply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizations
  • Stay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically

What we are looking for
  • Bachelor's degree in Economics, Mathematics, Engineering, Operations Research, or a related field
  • 3+ years of experience in the energy industry in forecasting, data analytics, or equivalent
  • Proficiency in at least one advanced programming language such as Python, R, MATLAB, or SAS
  • Hands-on experience developing software in a collaborative team environment
  • Experience working with big data, geospatial analytics, and/or probabilistic forecasting
  • Experience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging).
  • 5+ years of relevant experience is required to be considered for a senior-level position. 7+ years of relevant experience is required to be considered for a lead-level position.
  • Excellent written and verbal communication skills
  • Desired but not required:
    • Experience in electricity consumption modelling or economic modelling in the energy sector
    • Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or cold-climate heat pumps

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).
The expected salary range for the Associate to Mid-Level is $86,000 - $120,000 per year. We will also consider a Senior or Lead. The pay range for the Senior to Lead level is $117,000 - $146,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.
#LI-HYBRID
This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.
Equal Opportunity: We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Apply