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Quantitative Economics Jobs (NOW HIRING)

Quantitative Associate

Chicago, IL · 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 ...

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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.

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.

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 ...

Quantitative Researcher

Boston, MA · On-site

$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 ...

Solid understanding of financial markets, statistics, and econometric analysis * Good understanding ... Advanced degree in quantitative discipline such as Quantitative Finance, Computer Science ...

Quantitative Analyst The role, quantitative analyst, is ideal for someone who enjoys finding trends ... Commute subsidy Background Experience * BS/BA in Statistics, Mathematics, Economics, Finance ...

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Quantitative Economics information

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$31K

$90.6K

$146K

How much do quantitative economics jobs pay per year?

As of Jul 5, 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 jobs make $1,000,000 a year?

In quantitative economics, high-earning roles such as hedge fund managers, investment bankers, and senior quantitative analysts can reach or exceed $1 million annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, trading, or data analysis environments.

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 analytical skills, proficiency in statistical software, and understanding of economic models to analyze data and inform decision-making across finance, government, and consulting sectors.

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 mathematical modeling, statistics, and economic theory. Graduates often find opportunities in banking, consulting, government agencies, and tech firms, especially when combined with programming skills in tools like R or Python. The major provides a solid foundation for analytical roles and can lead to high-demand, well-paying jobs.
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 June 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Senior Quantitative Analyst, Quantitative & Risk Analytics

Senior Quantitative Analyst, Quantitative & Risk Analytics

Franklin Templeton

Lincoln, MA • On-site

Full-time

Medical, Retirement, PTO

Posted 15 days ago


Franklin Templeton rating

9.8

Company rating: 9.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Fiduciary Trust International is a premier investment and wealth management firm with a commitment to growing and protecting wealth across generations. We offer a dynamic and collaborative approach to managing wealth for high-net-worth and ultra high-net-worth individuals and families, family offices, endowments, foundations, and institutions. Our investment managers, tax and estate planning professionals work together to develop holistic strategies to optimize clients' portfolios while mitigating the impact of taxes on their wealth. As a fiduciary, the guidance we provide is in the best interests of our clients, without conflict or competing benefits. We offer boutique customization and deep expertise in specialized investment, tax and planning strategies alongside sophisticated technology and custody platforms.
Fiduciary Trust International is owned by Franklin Templeton, a dynamic firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals. With clients in over 150 countries and offices on six continents, you'll get exposed to different cultures, people, and business development happening around the world.
Senior Quantitative Analyst, Quantitative & Risk Analytics
Our Quantitative and Risk Analytics group is hiring a Senior Quantitative Analyst to report to the Investment Director of Quantitative and Risk Analytics. The team supports portfolio analytics, simulation-based frameworks, strategic asset allocation, and quantitative research for portfolio managers and investment research teams across asset classes.
This role blends quantitative analysis, applied financial modeling, data & model operations, and software development. You will analyze portfolio, market, and risk data to generate insights for portfolio managers, while also maintaining proprietary datasets, models, and analytics infrastructure to support those insights. You will act as a partner to Portfolio Management and Research, translating investment questions into quantitative analysis, clear interpretation, and scalable analytical workflows.
Given rapid technological change-including the adoption of AI and automation in investment workflows-the candidate will be comfortable modernizing legacy processes, integrating AI-enabled capabilities, and building production-quality analytics that scale without sacrificing analytical rigor.
Hiring Location Options:
  • Greater Boston Area (Lincoln, MA) or New York City
  • Hybrid schedule: work onsite 3 days per week

How You Will Add Value -
  • Serve as a primary quantitative partner for Portfolio Management and Investment Research-triaging and resolving analytical questions with speed, rigor, and clear communication.
  • Maintain, validate, and enhance portfolio and risk analytics (risk decomposition, factor exposures, scenario/stress testing, attribution, and forecasting) used in investment decision-making.
  • Analyze portfolio, risk, and market data to identify drivers of performance and risk; interpret results and communicate actionable insights, assumptions, and limitations to portfolio managers and research stakeholders.
  • Own and maintain critical data pipelines and data-quality control processes that enable accurate portfolio analysis and quantitative modeling (holdings, exposures, market/fundamental data, reference data). Implement daily, weekly, and monthly data-quality checks, reconciliation, and exception management.
  • Design and implement quantitative analytics in Python and SQL-ranging from exploratory analysis and model development to reusable libraries and automated production workflows-that improve insight, reliability, and efficiency.
  • Support recurring deliverables such as quarterly investment analysis and reporting, ensuring analytical accuracy, reproducibility, and clear linkage between data, models, and conclusions.
  • Contribute to quant research projects, including the annual Strategic Asset Allocation process: data preparation, simulation and backtesting, scenario analysis, and presentation of results.
  • Evaluate and integrate AI-enabled capabilities to enhance analytical workflows, with appropriate controls, validation, documentation, and adherence to compliance and data privacy requirements.
  • Maintain strong operational documentation, version control, and operational readiness for quantitative models and the supporting analytics software stack.

What Will Help You Be Successful in This Role -
  • Bachelor's degree in a quantitative discipline (finance, economics, mathematics, statistics, engineering, computer science, or related field).
  • 6-8 years of relevant experience in investment analytics, quantitative research, risk, portfolio analytics, or a closely related role.
  • Strong programming skills in Python and demonstrated ability to translate analysis into production-quality code.
  • Strong data skills, including SQL and experience working with large, real-world datasets; ability to build repeatable, well-controlled analytical workflows.
  • Strong Excel skills, including experience with complex workbooks and VBA, for analysis, prototyping, and interaction with existing tools and workflows.
  • Demonstrated ability to reason quantitatively about financial data, critically assess model outputs, and explain results, assumptions, and limitations clearly.
  • Working knowledge of multi-asset investing and risk concepts (e.g., duration and curve risk, equity and credit risk drivers, diversification, scenario analysis).
  • Comfort with modern software engineering practices, including Git-based version control, testing, and clear documentation.
  • Excellent attention to detail, strong ownership mindset, and the ability to manage multiple priorities in a deadline-driven environment.
  • Strong written and verbal communication skills; ability to engage effectively with non-technical stakeholders.
  • Ability to work in the United States without sponsorship. We are unable to provide visa sponsorship/transfer for this position, now or in the future.

Preferred Qualifications -
  • Experience with investment and market data platforms such as FactSet and Bloomberg; familiarity with portfolio accounting and holdings data is a plus.
  • Experience with cloud or modern analytics tooling (e.g., AWS, Azure, Snowflake).
  • Experience building analytical dashboards or reporting layers (e.g., Tableau, Power BI, or Python-based visualization applications).
  • Exposure to quantitative or statistical modeling techniques used in portfolio analytics, forecasting, or risk analysis; ability to understand, maintain, and explain existing analytical models.
  • Experience using LLM-based tools to support research or development workflows, with an understanding of model risk and responsible AI practices.
  • Progress toward or completion of CFA or FRM is a plus.

Additional: This role is intended for a hands-on, mid-level quantitative contributor with the analytical depth to derive insight from complex financial data, the independence to own core analytical processes end-to-end, the collaborative mindset to partner closely with portfolio managers and researchers, and the technical capability to modernize the platform as quantitative investment analytics increasingly incorporate automation and AI.
Compensation: Franklin Templeton offers employees a competitive and valuable range of total rewards-monetary and non-monetary - designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus (delete as appropriate), a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the annual salary for this position to range between $160,000 - $185,000, depending on location and level of relevant experience, plus bonus.
#LI-US
#Hybrid
Experience our welcoming culture and reach your professional and personal potential!
Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there's a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life's adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.
Learn more about the wide range of benefits we offer at Franklin Templeton
*Most benefits vary by location. Ask your recruiter about benefits in your country.
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
If you believe that you need an accommodation or adjustment, due to a medical condition or disability, to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number of the position you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

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