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Financial Econometrics Jobs (NOW HIRING)

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered ... econometrics, diligent knowledge of economic and market data, and providing insightful ...

Key Accountabilities The Financial Economist will work on financial projects that require econometric, statistical or other more quantitative/qualitative financial analysis techniques. Some notable ...

Key Accountabilities The Financial Economist will work on financial projects that require econometric, statistical or other more quantitative/qualitative financial analysis techniques. Some notable ...

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered ... econometrics, diligent knowledge of economic and market data, and providing insightful ...

Adjunct Faculty Finance and Economics Department of Finance and Economics UMGC Stateside Location: Dorsey, MD University of Maryland Global Campus (UMGC) seeks adjunct faculty to teach on-site at ...

... financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models. Economists at Amazon are expected to work directly with our ...

Senior Economist

Seattle, WA · On-site

$104K - $132K/yr

... financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models. Economists at Amazon are expected to work directly with our ...

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Financial Econometrics information

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$38.5K

$95.5K

$146K

How much do financial econometrics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for financial econometrics in the United States is $95,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What jobs can you get with econometrics?

With a background in econometrics, you can pursue roles such as financial analyst, data scientist, quantitative analyst, risk manager, or economic consultant. These positions often require strong statistical, programming, and analytical skills, and are common in finance, consulting, government, and research organizations.

What are some common challenges faced by professionals working in Financial Econometrics, and how can they be addressed?

Professionals in Financial Econometrics often encounter challenges such as managing large, complex datasets, dealing with model risk, and ensuring the accuracy of their quantitative analyses. Staying current with evolving econometric techniques and software is essential, as is maintaining strong communication with colleagues in finance and risk management to interpret and implement findings effectively. Building a solid foundation in both statistical theory and practical financial applications can help address these challenges, as can continuous learning and collaboration with multidisciplinary teams.

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

To thrive as a Financial Econometrician, you need a strong background in statistics, quantitative analysis, and finance, typically supported by an advanced degree in economics, finance, or a related field. Proficiency with statistical software such as R, Python, SAS, and econometric modeling tools is essential, along with familiarity with financial databases. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting complex findings. These skills are vital for producing accurate financial models, guiding investment decisions, and supporting risk management in finance.

What careers can I do with a financial economics degree?

A degree in financial economics prepares individuals for careers such as financial analyst, risk manager, investment banker, or economist. These roles often require strong quantitative skills, proficiency with statistical software, and understanding of financial markets. Many positions are found in banking, asset management, consulting, and government agencies.

Is econometrics good for finance?

Financial Econometrics is highly relevant for finance roles as it involves applying statistical and mathematical methods to analyze financial data, assess risk, and develop models for asset pricing and forecasting. Skills in econometrics are valuable for roles in quantitative analysis, risk management, and financial research, often requiring proficiency in statistical software like R or Stata. It provides a strong foundation for data-driven decision-making in finance environments.

What is financial econometrics?

Financial econometrics is a specialized field within economics that applies statistical and mathematical methods to analyze financial data. It is used by financial economists and analysts to model market behavior, assess risk, and develop trading strategies, often utilizing tools like regression analysis and time series models.

What is the difference between Financial Econometrics vs Quantitative Analyst?

AspectFinancial EconometricsQuantitative Analyst
Required CredentialsDegree in Economics, Finance, or Statistics; often advanced degreesDegree in Mathematics, Finance, or Engineering; often advanced degrees
Work EnvironmentResearch-focused, academic or financial institutionsFinancial firms, hedge funds, investment banks
Employer & Industry UsageUsed for modeling financial data, risk management, and forecastingDevelops trading algorithms, risk models, and investment strategies

Financial Econometrics primarily focuses on applying statistical methods to financial data for research and analysis, while Quantitative Analysts develop models and algorithms for trading and investment decisions. Both roles require strong quantitative skills and often overlap in skills and tools, but their main applications differ: research versus trading and strategy implementation.

More about Financial Econometrics jobs
What cities are hiring for Financial Econometrics jobs? Cities with the most Financial Econometrics job openings:
What states have the most Financial Econometrics jobs? States with the most job openings for Financial Econometrics jobs include:
What job categories do people searching Financial Econometrics jobs look for? The top searched job categories for Financial Econometrics jobs are:
Infographic showing various Financial Econometrics job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 69% As Needed, 9% Full Time, 3% Part Time, and 18% Nights. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $95,505 per year, or $45.9 per hour.
Adjunct Faculty, MS in Financial Economics

Adjunct Faculty, MS in Financial Economics

Johns Hopkins University

Washington, DC • On-site

$8.7K - $9.2K/mo

Full-time

Posted 5 days ago


Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

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Job description

Description
Institution
Johns Hopkins University
Krieger School of Arts and Sciences
Advanced Academic Programs
About Advanced Academic Programs
Advanced Academic Programs (AAP) is a Johns Hopkins University's Krieger School of Arts and Sciences division. As part of the nation's first research university, AAP offers rigorous and high-quality master's degrees at the Hopkins Bloomberg Center in Washington, DC, at the Homewood campus in Baltimore, Maryland, and online.AAP distinguishes itself through its intensive instructional assistance, selective admissions, over 60 dedicated full-time faculty. Tenured Krieger School faculty members serve as program chairs to oversee the academic rigor of AAP's graduate offerings. For more information, please see http://advanced.jhu.edu/.
Position Description
The MS in Financial Economics program at Johns Hopkins University is seeking applications to establish a pool of qualified adjunct instructors for future teaching opportunities. While appointments are based on program needs, we anticipate hiring additional adjunct faculty in upcoming semesters.
We are particularly interested in instructors qualified to teach one or more of the following courses:
  • Financial Economics
  • Financial Econometrics
  • Financial Intermediation and Financial Markets
  • Economics of Investments and Financial Management
  • Behavioral Economics and Finance
  • Economics of Derivatives
  • Other graduate-level finance and economics courses aligned with the program curriculum

The ideal candidate has a passion for graduate education and its power to transform the careers of working professionals, international students, and nontraditional learners. Successful candidates will have a demonstrated record of effective graduate (in-person and/or online) teaching and a commitment to creating an engaging and inclusive learning environment.
As the finance profession continues to evolve with advances in artificial intelligence and data analytics, we are especially interested in instructors who can thoughtfully incorporate AI tools and AI-related skills into their teaching where appropriate. Examples include using AI to support financial analysis, data visualization, programming, forecasting, risk analysis, investment research, and decision-making, while also helping students understand the opportunities and limitations of these technologies.
The expected salary range for this position is: $8,755 - $9,270 per course.
The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. The actual compensation offered to the selected candidate may vary and will be based on factors including, but not limited to, the experience and qualifications of the selected candidate - e.g., years in rank, training, field, discipline, other work experience, and other similar factors; geographic location; internal equity; external market conditions; and other factors as reasonably determined by the University.
Qualifications
Minimum Qualifications
  • Master's degree in Economics, Finance, or a closely related field.
  • At least one year of graduate-level teaching experience (in-person, online, or hybrid).
  • At least one year of relevant professional experience in economics, finance, banking, investments, risk management, or a related field.

Preferred Qualifications
  • Ph.D. in Economics, Finance, or a closely related field.
  • Several years of graduate-level teaching experience.
  • Significant industry experience in finance or economics.
  • Experience integrating AI tools, data analytics, programming, or other emerging technologies into finance or economics instruction.
  • Experience designing applied learning activities that connect theory with current industry practice.

Application Instructions
The position will remain open until it is filled. Candidates must submit the following:
  • Cover letter
  • CV
  • Teaching evaluations for the three most recently taught course
  • Teaching statement (1-2 pages) describing how to incorporate AI into a graduate finance course.

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