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Internship Python Quant Jobs in Washington (NOW HIRING)

The economic policy intern will have the opportunity to do quantitative analysis, background ... Familiarity with Stata, R, and Python is preferred but not required. Candidates who are able to ...

... Python, and R * 2-6 years of relevant experience, including undergraduate or graduate roles or internships, performing national security-related analytics; preference for research, quantitative ...

... Python, and R * 2-6 years of relevant experience, including undergraduate or graduate roles or internships, performing national security-related analytics; preference for research, quantitative ...

... quantitative field · 0-2 years of relevant experience (including internships, labs, or academic projects) · Foundational knowledge of Python or SQL · Understanding of basic data analysis and ...

Financial Program Manager

Washington, DC · On-site

$100K - $150K/yr

... quantitative reasoning; ability to collaborate effectively and communicate clearly; exposure to Python, SQL, or data visualization tools; internship or academic project experience in federal ...

... quantitative field · 0-2 years of relevant experience (including internships, labs, or academic projects) · Foundational knowledge of Python or SQL · Understanding of basic data analysis and ...

Analyst

Arlington, VA

$60K - $80K/yr

Instead, they use analysis--qualitative and quantitative--as one of several tools to support ... Python Sense of curiosity and ability to drive work independently Additional requirements ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate ... quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate ... quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or ...

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Internship Python Quant information

What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

What are the key skills and qualifications needed to thrive as an Internship Python Quant, and why are they important?

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is an Internship Python Quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

Intern, Center for Research & Data Analysis

Intern, Center for Research & Data Analysis

NATIONAL LEAGUE OF CITIES

Washington, DC • On-site

$19 - $22/hr

Internship

Posted 28 days ago


Job description

Center for Research and Data


About the National League of Cities

The National League of Cities (NLC) is the voice of America’s cities, towns, and villages, representing more than 19,000 municipalities across the country. NLC works to strengthen local leadership, influence federal policy, and drive innovative solutions to improve the quality of life in communities nationwide.

About the Center for Research and Data

The Center for Research and Data is the hub for data-driven insights at NLC. Using both qualitative and quantitative research methods, the Center provides valuable information to support local leaders, inform policy decisions, and guide NLC’s strategic priorities. The Center ensures that NLC remains the go-to source for data and analysis on cities and municipal governance.

Position Overview

The Center for Research and Data is seeking analytical and detail-oriented interns to support its research initiatives. This internship offers a unique opportunity to contribute to high-impact projects that explore trends, challenges, and innovations in local government across the United States.

Key Responsibilities

  • Assist in the design and execution of surveys, interviews, and other data collection efforts.
  • Conduct literature reviews and background research on municipal policy topics.
  • Analyze quantitative and qualitative data using tools such as Excel, R, Python, or SPSS.
  • Support the development of research reports, briefs, infographics, and presentations.
  • Help maintain and update internal databases and research archives.
  • Participate in team meetings and contribute to collaborative research planning.

Qualifications

  • Current undergraduate or graduate student, or recent graduate in public policy, urban studies, economics, data science, sociology, or a related field.
  • Strong interest in local government, public policy, and applied research.
  • Experience with data analysis, visualization, and research methods.
  • Proficiency in Microsoft Excel; familiarity with statistical software (e.g., R, Python, SPSS, or Stata) is a plus.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively in a deadline-driven environment.


National League of Cities – Washington, D.C.
Department: Center for Research and Data
Position Type: Internship (Fall, Spring, and Summer Terms)
Location: Washington, D.C. (Hybrid or In-Person)
Compensation: Paid
Application Deadline: Rolling


Please Note: this is evergreen posting for Expression of Interest for an Internship opportunity and the candidates will be contacted as need arises within the team