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Quantitative Analytics Intern Jobs in Washington

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 ...

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 ...

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 ...

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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Quantitative Analytics Intern information

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and may involve using tools like Python, R, or MATLAB. Internships and entry-level roles are available for students pursuing relevant degrees in finance, mathematics, or engineering.

What are the key skills and qualifications needed to thrive as a Quantitative Analytics Intern, and why are they important?

To excel as a Quantitative Analytics Intern, you need strong analytical and mathematical skills, familiarity with statistical concepts, and coursework or a degree in quantitative fields such as mathematics, finance, or engineering. Proficiency with tools like Python, R, SQL, and data visualization software, as well as experience with statistical modeling or machine learning libraries, is highly valued. Effective communication, problem-solving abilities, and attention to detail set outstanding interns apart in collaborative and fast-paced environments. These skills are vital for accurately analyzing complex data, presenting insights, and supporting data-driven decision-making within organizations.

How much do quant interns get paid?

Quantitative analytics interns typically earn between $20 and $40 per hour, depending on the company, location, and level of experience. Interns in finance or hedge funds may receive higher compensation, and some programs offer stipends or full-time equivalents during summer internships.

What does a Quantitative Analytics Intern do?

A Quantitative Analytics Intern typically supports teams by analyzing large data sets, building statistical models, and developing algorithms to solve business problems. Their work often involves using programming languages like Python or R, and tools such as Excel or SQL, to gather insights from data. Interns may assist in financial modeling, risk assessment, or market research, depending on the industry. This role provides hands-on experience in applying quantitative methods to real-world problems, preparing students for future careers in finance, technology, or data science.

Is 30 an hour good for an intern?

For a Quantitative Analytics Intern, $30 an hour is considered above average for internship pay, which typically ranges from minimum wage to around $20 per hour depending on the industry and location. Interns in specialized fields like analytics or finance often earn higher wages, especially if they possess relevant skills such as programming or data analysis. However, pay can vary based on the company's size, location, and the intern's experience level.

What is a quantitative analyst intern?

A quantitative analyst intern is a student or entry-level professional who assists in developing and applying mathematical models to analyze financial data and support investment decisions. They typically use programming languages like Python or R and work under the supervision of experienced analysts in finance or data-driven environments.

What types of projects or tasks can a Quantitative Analytics Intern expect to work on during their internship?

As a Quantitative Analytics Intern, you can expect to work on a variety of data-driven projects, such as building statistical models, analyzing financial or operational datasets, and assisting in the development of forecasting tools. Interns often collaborate with experienced quantitative analysts and data scientists, contributing to real-world problem-solving for business or investment strategies. The role typically involves coding, data cleaning, and presenting findings to team members, offering a comprehensive introduction to quantitative methods in a professional setting.
What cities in Washington are hiring for Quantitative Analytics Intern jobs? Cities in Washington with the most Quantitative Analytics Intern job openings:
Data Science and Advanced Analytics Intern

Data Science and Advanced Analytics Intern

AARP

Washington, DC • On-site

$28/hr

Internship

Posted 11 days ago


AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

108th of 682 rated non-profit organizations


Job description

Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.
Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.
The AARP Data Science & Advanced Analytics team is seeking a curious and creative intern to support ongoing enhancements to Data Science-owned AI/ML and agentic personalization capabilities across our digital channels. This paid internship, anticipated to begin in Summer 2026 with the potential to extend into additional semesters, sits within the Data Science function and focuses on AI-driven personalization, content intelligence, audience engagement analysis, and emerging agentic decisioning initiatives. The intern will help evaluate engagement signals, content effectiveness, and qualitative feedback to support the evolution of AI/ML-powered personalization systems and optimization frameworks. This internship offers hands-on exposure to how analytics, content strategy, audience engagement, and AI work together to improve personalized digital experiences, while supporting Data Science-led AI and agentic personalization initiatives focused on content intelligence, engagement optimization, and AI-assisted decisioning. Ideal candidates will have an interest in media, marketing analytics, audience strategy, communications, digital content, consumer behavior, personalization, and emerging AI technologies, combined with strong analytical thinking, intellectual curiosity, and the ability to connect insights to business outcomes.
Responsibilities
  • Support ongoing improvements to Data Science-owned AI/ML and agentic personalization capabilities
  • Review personalized content recommendations and engagement trends
  • Evaluate content relevance, freshness, tone, and audience alignment
  • Analyze web, app, and email engagement patterns and analytics
  • Support experimentation and optimization initiatives
  • Provide structured qualitative feedback to support AI-assisted decisioning
  • Assist with summaries, presentations, analytics reviews, and insight documentation

Qualifications
  • Currently pursuing an undergraduate or graduate degree in Media & Marketing Analytics, Audience Strategy, Digital Media, Integrated Marketing Communications, Business Analytics, Consumer Strategy, Marketing, Communications, or a related field
  • Strong interest in digital experiences, consumer engagement, personalization, and emerging AI technologies
  • Ability to think analytically, synthesize insights, and communicate findings clearly to both technical and non-technical audiences

Additional
  • Exposure to digital publishing, content marketing, audience development, or marketing analytics
  • Familiarity with audience engagement metrics, reporting, dashboards, or performance measurement
  • Interest in personalization, AI/ML, experimentation, recommendation systems, or emerging agentic AI applications
  • Experience creating presentations, reports, content analyses, or research summaries
  • Comfort working with both quantitative and qualitative information to identify patterns, opportunities, and insights
  • Curiosity about how data, content, and technology can work together to improve customer experiences and business outcomes

AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
  • Regular and reliable job attendance
  • Effective verbal and written communication skills
  • Exhibit respect and understanding of others to maintain professional relationships
  • Independent judgement in evaluation options to make sound decisions
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
The hourly range is $18.40 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.