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Quantitative Economics Jobs (NOW HIRING)

AVP-Analytics & Quantitative Modeling

Manhattan, NY ยท On-site

$159 - $231/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong understanding of quantitative modelling principles and best practices, including model ... Experience applying statistical, econometric or machine learning techniques to solve complex ...

Quantitative Associate

Chicago, IL ยท On-site

$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 ...

Quantitative Equity Analyst

Boston, MA

$125K - $140K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Bachelor's degree in a Mathematics, Statistics, Finance, Economics, or related field * Minimum 3 years of experience in quantitative investment research * Bachelor's degree in a Mathematics ...

Showing results 41-60

Quantitative Economics information

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$31K

$90.6K

$146K

How much do quantitative economics jobs pay per year?

As of Aug 15, 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 careers in quantitative economics?

Careers in quantitative economics include roles such as economic analyst, financial analyst, data scientist, risk manager, and policy advisor. These positions typically require strong skills in statistical analysis, econometrics, and programming tools like R or Python, often within finance, government, or research organizations.

What skills and qualifications are needed to thrive as a quantitative economist?

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 do quantitative economists do?

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 involve analyzing data, building models, and applying statistical tools like R or Python to inform decision-making in finance, government, or consulting firms.

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.
More about Quantitative Economics jobs

What cities are hiring for Quantitative Economics jobs?

Cities with the most Quantitative Economics job openings:

What states have the most Quantitative Economics jobs?

States with the most job openings for Quantitative Economics jobs include:

Infographic showing various Quantitative Economics job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

AVP-Analytics & Quantitative Modeling

PassFort

Manhattan, NY โ€ข On-site

$159 - $231/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

At Moody's, we unite the brightest minds to turn todayโ€™s risks into tomorrowโ€™s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they areโ€”with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodyโ€™s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, weโ€™re advancing AI to move from insight to actionโ€”enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, you still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies
  • Strong understanding of quantitative modelling principles and best practices, including model design, calibration, performance assessment and implementation
  • 5+ years of experience in quantitative modelling, statistical analysis, model development, model validation or related analytical roles within financial services
  • Experience applying statistical, econometric or machine learning techniques to solve complex analytical problems
  • Proficiency in programming languages or analytical softwares, such as MATLAB, Python, R, VBA or C#
  • Familiarity with structured finance, credit risk modelling or rating methodologies is preferred
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts clearly to diverse audiences
  • Strong analytical, organizational and problem-solving skills with careful attention to detail and the ability to manage multiple priorities
  • Self-motivated and collaborative team player with a continuous learning mindset and a willingness to explore new analytical approaches and technologies
  • Demonstrated proficiency in artificial intelligence concepts, proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
  • PhD or Master's degree in Finance, Financial Engineering, Mathematical Finance, Economics, Mathematics, Statistics, Physics, Data Science, Engineering, Computer Science or a related quantitative field
Responsibilities

The AVP-Analytics & Modeling contributes to the development, calibration and enhancement of quantitative models and analytical tools that support Moody's Ratings methodologies across diverse asset classes.

  • Lead the development, calibration, maintenance and enhancement of quantitative credit rating models, scorecards and related analytical tools
  • Apply statistical, econometric and mathematical techniques to support model design, calibration, validation and performance assessment
  • Partner with methodology, analytical and quantitative teams to understand business needs and translate them into robust analytical solutions
  • Contribute to methodology development projects across Structured Finance and Fundamental asset classes by providing quantitative analysis and modelling expertise
  • Prepare clear and comprehensive documentation that supports transparency, reproducibility and compliance with model governance, validation and verification requirements
  • Conduct research on new modelling approaches, data sources, Artificial Intelligence applications and emerging analytical techniques that can improve model quality and effectiveness
  • Author and co-author analytical publications, white papers and research materials that communicate modelling approaches and analytical insights to internal and external audiences
  • Provide guidance and technical support to junior colleagues and contribute to knowledge sharing across the organization
About The Team

Our MIS Credit Strategy and Standards (CSS) team is responsible for advancing quantitative modelling, data analysis and innovation โ€” including Artificial Intelligence โ€” to strengthen credit analytics and support the transparent communication of the analytical foundations that underpin Moody's Ratings. The team plays a critical role in developing and maintaining robust, consistent and fit-for-purpose methodologies across all rating sectors. By joining our team, you will be part of high-impact work that shapes the next generation of credit risk analytical capabilities and contributes to AI-driven innovation that is transforming how risk is understood and communicated on a global scale.

For US-based roles only: the anticipated hiring base salary range for this position is $159,200.00 - $230,900.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moodyโ€™s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moodyโ€™s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moodyโ€™s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moodyโ€™s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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