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Phd In Economics Jobs in Colorado (NOW HIRING)

Lecturer

Denver, CO · On-site

$5.8K - $6.5K/mo

... economic impact of $665 million. To learn more about how CU Denver helps learners meet their moment ... A combination of a Bachelor's degree. • A PhD in Engineering or a related field is required for ...

... economic impact of $665 million. To learn more about how CU Denver helps learners meet their moment ... Master's degree or PhD in Interdisciplinary Studies or related field Preferred Qualification to ...

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Phd In Economics information

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$56

$68

$79

How much do phd in economics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for phd in economics in Colorado is $68.75, according to ZipRecruiter salary data. Most workers in this role earn between $62.69 and $74.81 per hour, depending on experience, location, and employer.

What is a PhD in Economics?

A PhD in Economics is a doctoral degree focused on advanced study and research in economic theory, econometrics, and applied economics. This program typically spans 4-6 years and involves rigorous coursework, comprehensive exams, and original research culminating in a dissertation. Graduates are trained to analyze complex economic problems, contribute to policy discussions, and advance the field through academic or industry research. Earning a PhD in Economics prepares individuals for careers in academia, government, international organizations, and the private sector.

What types of career paths are available to someone with a PhD in Economics beyond academia?

While many with a PhD in Economics pursue academic research and teaching positions, there are also diverse opportunities in government agencies, think tanks, international organizations, and the private sector. Economists are often employed in policy analysis, data science, consulting, and financial services, where their analytical and quantitative skills are highly valued. Collaborating with multidisciplinary teams is common, and positions often involve conducting complex research, presenting findings to stakeholders, and informing decision-making processes. Career advancement can lead to senior research, policy advisory, or executive roles depending on the industry.

What are the key skills and qualifications needed to thrive as a PhD in Economics, and why are they important?

To thrive as a PhD in Economics, you need advanced quantitative analysis, economic theory expertise, and strong research skills, typically supported by a doctoral degree in economics or a related field. Proficiency with statistical software such as Stata, R, or MATLAB and experience with academic publishing and data management tools are highly valued. Exceptional critical thinking, effective communication, and collaborative abilities distinguish top economists in academic or industry roles. These skills are crucial for producing rigorous research, influencing policy, and effectively conveying complex economic concepts to diverse audiences.

What is the difference between Phd In Economics vs Economist?

AspectPhd In EconomicsEconomist
Required CredentialsDoctorate (PhD) in EconomicsBachelor's or Master's in Economics or related field; PhD preferred for advanced roles
Work EnvironmentAcademic, research institutions, think tanks, policy organizationsGovernment agencies, private firms, consulting, research institutions
Industry UsageAcademic research, policy analysis, teachingEconomic analysis, forecasting, policy advising, consulting

While a Phd In Economics focuses on advanced research and academic roles, an Economist applies economic principles in various industries, often with less emphasis on academic research. Both roles require strong analytical skills, but the PhD is essential for research-intensive positions, whereas Economists may have diverse educational backgrounds.

Is a PhD in economics in demand?

A PhD in economics is in demand for academic, research, and policy roles, especially in government agencies, think tanks, and universities. Economists with strong analytical skills and expertise in data analysis, econometrics, and modeling are sought after in various sectors, including finance and consulting. Job opportunities often require advanced research capabilities and a solid understanding of economic theory.

Is a PhD in economics useful?

A PhD in economics is useful for careers in academia, research, policy analysis, and high-level consulting, where advanced analytical and quantitative skills are required. It can lead to roles in government agencies, international organizations, and financial institutions, often involving data analysis, economic modeling, and policy development.

What can I do with a PhD in economics?

A PhD in economics prepares individuals for research, teaching at the university level, and policy analysis roles in government, think tanks, or international organizations. Graduates often work as economists, data analysts, or consultants, utilizing quantitative skills, economic modeling, and statistical tools like R or Stata. Career paths may also include roles in finance, consulting, or academia.

What are popular job titles related to Phd In Economics jobs in Colorado?

For Phd In Economics jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Phd In Economics jobs?

Cities in Colorado with the most Phd In Economics job openings:

Infographic showing various Phd In Economics job openings in Colorado as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $143,006 per year, or $68.8 per hour.

Data Scientist (Mid-level) - Risk Modeling

Colorado Springs, CO • On-site, Remote


USAA
Finance and Insurance • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

52nd of 173 rated banks

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team.  This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations.  We’re looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. 

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO.

Relocation assistance is not available for this position.

What you'll do:

  • Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
  • Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
  • Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
  • Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
  • Composes technical documents for knowledge persistence, risk management, and technical review audiences.
  • Assesses business needs to propose/recommend analytical and modeling projects to add business value.
  • Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders.
  • Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
  • Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
  • Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards.
  • Maintains awareness of cutting-edge techniques.
  • Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience.
  • 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis.
  • 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
  • 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
  • Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
  • Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
  • Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
  • Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
  • Ability to assess regulatory implications and expectations of distinct modeling efforts.
  • Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
  • Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
  • Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

What sets you apart:

  • Risk modeling experience
  • Experience building and deploying machine learning models in production
  • P&C Insurance domain experience
  • Experience solving data problems with high levels of ambiguity
  • Experience working in a collaborative environment with multiple stakeholders
  • Strong attention to detail

Compensation range: The salary range for this position is: $114,080- $218,030.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

 

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.



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