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Quantitative Economics Jobs (NOW HIRING)

Corgi

Quantitative Associate

Chicago, IL

$200K - $350K/yr

Strong quantitative background in mathematics, statistics, economics, physics, computer science, engineering, or a related field. * Exceptional analytical and problem-solving abilities. * Familiarity ...

Fidelity International

BSc or MSc (with knowledge of statistics, econometrics & numerical methods). * Experience in signal development on macro and TAA strategies. * Passion for quantitative investing and some experience ...

USAA

Data Scientist I

Charlotte, NC · On-site +1

Will accept a Bachelor's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field and 4 years of experience in the job offered or in a related occupation.

Arrowstreetcapital

Quantitative Researcher

Boston, MA

$155K - $260K/yr

Job Overview We are looking for Quantitative Researchers to join our Research group. We are a ... Knowledge of the application of statistics to economics (including econometrics or regression ...

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$31K

$90.6K

$146K

How much do quantitative economics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for quantitative economics in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Economics vs Data Analyst?

AspectQuantitative EconomicsData Analyst
Required CredentialsDegree in Economics, Mathematics, or related fields; often advanced degreesBachelor's or master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, policy analysis, academic or economic consulting firmsBusiness, marketing, finance departments, or tech companies
Employer & Industry UsageFinancial institutions, government agencies, research institutionsCorporations, marketing firms, tech companies
Common Search & Comparison IntentUnderstanding economic modeling, policy impact, research rolesData interpretation, reporting, business insights

While both roles involve data analysis, Quantitative Economics emphasizes economic modeling and policy research, often requiring advanced degrees. Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. The roles differ in work environment and industry focus but share skills in data handling and statistical analysis.

What are the key skills and qualifications needed to thrive as a Quantitative Economist, and why are they important?

To thrive as a Quantitative Economist, you need a strong background in economics, advanced mathematics, and statistical analysis, often supported by a degree in economics, mathematics, or a related field. Familiarity with statistical software such as R, Python, Stata, or MATLAB and experience with econometric modeling are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings to non-technical audiences are valuable soft skills. These competencies enable Quantitative Economists to analyze data effectively, inform policy or business decisions, and clearly convey insights to stakeholders.

What does a quantitative economist do?

A quantitative economist analyzes economic data and models to understand market trends, forecast economic conditions, and inform policy or business decisions. They use statistical tools, econometrics, and programming languages like R or Python to develop and test economic theories and models. This role often requires strong analytical skills and a background in economics, mathematics, or statistics.

What types of projects or analyses do Quantitative Economics professionals typically work on within organizations?

Quantitative Economics professionals often engage in projects that involve data-driven analysis, such as forecasting economic trends, evaluating policy impacts, and modeling financial markets. Their daily work may include developing econometric models, analyzing large datasets, and presenting insights to stakeholders across departments like finance, strategy, or policy. Collaboration with data scientists, business analysts, and other economists is common to ensure that quantitative findings are integrated into broader business or policy decisions. This role provides opportunities to work on high-impact projects and often leads to advancement into senior analytical or leadership positions.

What can you do with a quantitative economics degree?

A degree in quantitative economics prepares individuals for roles such as financial analyst, data analyst, economic researcher, or risk manager. These positions often require strong skills in statistical analysis, econometrics, and proficiency with tools like R, Python, or Excel. Graduates can work in finance, government, consulting, or research institutions, applying economic models and data analysis to inform decision-making.

What is the salary of quantitative economics in the US?

Quantitative economists in the US typically earn a median annual salary of around $100,000 to $130,000, with higher salaries possible for those with advanced degrees, specialized skills, or experience in finance, consulting, or research roles. Entry-level positions may start lower, while senior roles can exceed $150,000 annually.

What is quantitative economics?

Quantitative economics is a field that applies mathematical and statistical methods to analyze economic data and solve economic problems. Professionals in this area use models and quantitative techniques to make predictions, assess policy impacts, and understand economic relationships. It combines economics theory with tools from mathematics, statistics, and computer science to provide rigorous analysis and support data-driven decision making.

Is quantitative economics a good major?

Quantitative economics is a strong major for careers in finance, data analysis, and economic research, as it develops skills in mathematics, statistics, and economic modeling. Graduates often find opportunities in banking, consulting, government agencies, and international organizations, with many roles requiring proficiency in software tools like R or Python. The major provides a solid foundation for analytical and problem-solving skills valued across various industries.
More about Quantitative Economics jobs
What cities are hiring for Quantitative Economics jobs? Cities with the most Quantitative Economics job openings:
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What job categories do people searching Quantitative Economics jobs look for? The top searched job categories for Quantitative Economics jobs are:
Quantitative Economics jobs near you
Infographic showing various Quantitative Economics job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 73% Physical, 7% Hybrid, and 20% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Engineering - Dallas - Associate, Quantitative Engineering - 033664

Engineering - Dallas - Associate, Quantitative Engineering - 033664

Goldman Sachs, Inc.

Dallas, TX • On-site

Other

Posted 15 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. Multiple positions available. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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