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Quantitative Analysis Intern Jobs in Washington (NOW HIRING)

KME.digital

Digital Marketing Intern

Alexandria, VA

Excellent analytical and quantitative skills, a passion for metrics and quantitative analysis, ability to turn analysis into actionable programs, and ability to use data to optimize day-to-day ...

KME Digital

Digital Marketing Intern

Alexandria, VA · On-site

Excellent analytical and quantitative skills, a passion for metrics and quantitative analysis, ability to turn analysis into actionable programs, and ability to use data to optimize day-to-day ...

AEI

Fall Intern: Economic Policy

Washington, DC · On-site

The economic policy intern will have the opportunity to do quantitative analysis, background research, fact-checking, and editing for articles and ongoing academic research projects on issues related ...

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All JobsQuantitative Analysis Intern JobsQuantitative Analysis Intern Jobs in Washington

Quantitative Analysis Intern information

See Washington salary details

$23.1K

$80.7K

$176.6K

How much do quantitative analysis intern jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative analysis intern in Washington is $80,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,872.00 and $106,829.00 per year, depending on experience, location, and employer.

What does a quantitative analysis intern do?

A Quantitative Analysis Intern typically assists with analyzing data, creating statistical models, and supporting financial or business decision-making using quantitative methods. They may work with programming languages like Python or R, and tools such as Excel to interpret large datasets. Their work often involves researching financial markets, testing strategies, and presenting findings to senior analysts or managers. This role provides hands-on experience in applying mathematical and statistical techniques to real-world problems in finance, consulting, or technology firms.

What types of projects and tasks can a quantitative analysis intern expect to work on during their internship?

As a Quantitative Analysis Intern, you can expect to assist with data collection, cleaning, and statistical analysis to support ongoing research or trading strategies. Interns often work closely with senior analysts and team members to develop predictive models, backtest strategies, and prepare reports on their findings. It's common to collaborate with professionals in both technology and finance, gaining exposure to real-world applications of quantitative methods. This hands-on experience helps interns build both technical and communication skills, while also providing insight into the fast-paced environment of quantitative finance.

What are the key skills and qualifications needed to thrive as a quantitative analysis intern, and why are they important?

To thrive as a Quantitative Analysis Intern, you need a solid background in mathematics, statistics, and data analysis, often supported by coursework in quantitative fields such as finance, economics, or engineering. Familiarity with programming languages like Python or R, Excel, and statistical software is typically required, along with knowledge of data visualization tools. Strong problem-solving abilities, attention to detail, and effective communication set standout interns apart in this role. These skills are crucial for accurately analyzing complex data, communicating insights, and supporting data-driven decision-making in a fast-paced environment.

What is the difference between Quantitative Analysis Intern vs Quantitative Analyst?

AspectQuantitative Analysis InternQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldsBachelor's or master's degree in a quantitative field; certifications like CFA or FRM are common
Work EnvironmentInternship setting, often part-time or summer roles within finance firms or banksFull-time professional role in investment firms, banks, or hedge funds
Employer & Industry UsageUsed by firms to train and evaluate potential future analystsCore role responsible for developing models, analyzing data, and supporting investment decisions

In summary, a Quantitative Analysis Intern is an entry-level position aimed at gaining experience, while a Quantitative Analyst is a full-time professional responsible for in-depth data analysis and model development within the finance industry.

What cities in Washington are hiring for Quantitative Analysis Intern jobs?

Cities in Washington with the most Quantitative Analysis Intern job openings:

Quantitative Analysis Intern jobs near you
Infographic showing various Quantitative Analysis Intern job openings in Washington as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,659 per year, or $38.8 per hour.

WBG Pioneer - Geospatial Data Analysis Intern

The World Bank Group

Washington, DC • On-site

Internship

Re-posted 5 days ago

Job description

The Trade Policy and Facilitation Unit is developing a quantitative spatial model to assess the spatial economic impacts of logistics infrastructure, logistics and trade facilitation policies, and trade policies at the national and regional levels. Building on a cities spatial model developed jointly by the International Growth Centre (IGC) and the World Bank, the unit intends to extend this framework beyond the city level and to develop it in partnership with the Development Economics (DEC) group, the Transport global practice, and external partners. The model is intended to complement the unit's existing computable general equilibrium (CGE) analysis. 

This work also builds on a long tradition of World Bank analysis of the sub-national geography of trade, including work on lagging regions and their connection to global markets, and seeks to capture the substantial methodological and data advances that have emerged since. Robust spatial analysis of this kind depends critically on the assembly, cleaning, and structuring of high-quality geospatial data used to parameterize and run the model. 

The intern will support this effort within the Trade Policy and Facilitation Unit, contributing to the compilation and preparation of geospatial datasets and to the operation of the quantitative spatial model, under the supervision of the project team. 

Duties and Responsibilities 

Under the guidance of the project lead, the intern will: 

Compile, clean, and structure the geospatial data required to parameterize and run the quantitative spatial ("cities") model, extending it from the city level to the national and regional levels. 

Assemble and process key spatial inputs - including road and transport networks, population grids, terrain data, port and trade-node locations (e.g., PortWatch), and travel-time layers - into model-ready formats. 

Run the spatial model with the prepared data to assess the spatial economic impacts of logistics infrastructure, trade facilitation measures, and trade policies, in coordination with DEC, Transport, and external partners. 

Construct population-weighted accessibility and remoteness indicators to key trade nodes and correlate them with granular socio-economic data. 

Produce maps, interactive dashboards, and other visual outputs to support diagnostics, model validation, and dissemination. 

Contribute to note writing, presentations, and other analytical and dissemination products, and document data sources, methods, and code for reproducibility. 

Apply