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Virtual Quant Research Internships Jobs (NOW HIRING)

Point72

Quantitative Researcher Intern

New York, NY

$120K - $180K/yr

... rigorous research, state-of-the-art machine learning methods, a broad range of public and ... Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

... rigorous research, state-of-the-art machine learning methods, a broad range of public and ... Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Permanent Quantitative Researcher Junior level (internship - 3 years experience) I am working with a globally recognised investment management firm that specialises in systematic and quantitative ...

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How much do virtual quant research internships jobs pay per year?

As of Jul 14, 2026, the average yearly pay for virtual quant research internships in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between Virtual Quant Research Internships vs Virtual Data Analyst Internships?

AspectVirtual Quant Research InternshipsVirtual Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften pursuing degrees in statistics, data science, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksCorporations, consulting firms, or tech companies
Employer & Industry UsageUsed mainly in finance and investment industriesCommon across various industries including tech, marketing, and finance
Search & Comparison IntentFocus on finance, quantitative research, and investment analysisFocus on data analysis, reporting, and business insights

Virtual Quant Research Internships primarily target students interested in finance and quantitative analysis within investment firms, while Virtual Data Analyst Internships are broader, covering various industries and emphasizing data interpretation and reporting. Both roles require strong analytical skills but differ in industry focus and typical employer types.

What are some common challenges faced by Virtual Quant Research Interns, and how can they be addressed?

Virtual Quant Research Interns often encounter challenges such as limited access to real-time collaboration, difficulty in understanding complex quantitative concepts without in-person guidance, and managing independent research projects remotely. To address these challenges, it's important to proactively communicate with mentors, participate in virtual team meetings, and utilize collaborative tools like shared code repositories and video conferencing. Setting clear goals and regularly seeking feedback can also help interns stay engaged and ensure progress, even in a remote environment.

What are Virtual Quant Research Internships?

Virtual Quant Research Internships are remote internship programs where students or recent graduates work on quantitative research projects, often in finance, data science, or technology sectors. Interns typically analyze large datasets, develop mathematical models, and use programming skills to solve real-world problems, all while collaborating with teams online. These internships provide valuable hands-on experience in quantitative analysis and research methods, as well as exposure to industry-standard tools and practices. They are ideal for individuals seeking flexibility and practical experience without relocating.

What are the key skills and qualifications needed to thrive as a Virtual Quant Research Intern, and why are they important?

To thrive as a Virtual Quant Research Intern, you need a strong background in mathematics, statistics, and programming—usually supported by coursework in quantitative fields like mathematics, finance, or computer science. Familiarity with programming languages such as Python, R, or MATLAB, and experience with statistical analysis tools or data visualization libraries, are typically expected. Analytical thinking, problem-solving, and effective remote communication skills help set candidates apart. These abilities are crucial for successfully conducting quantitative research, producing actionable insights, and collaborating with remote teams in a virtual environment.
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What cities are hiring for Virtual Quant Research Internships jobs? Cities with the most Virtual Quant Research Internships job openings:
What are the most commonly searched types of Quant Research Internships jobs? The most popular types of Quant Research Internships jobs are:
What states have the most Virtual Quant Research Internships jobs? States with the most job openings for Virtual Quant Research Internships jobs include:
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Virtual Quant Research Internships jobs near you
Infographic showing various Virtual Quant Research Internships job openings in the United States as of July 2026, with employment types broken down into 15% Internship, 1% As Needed, 63% Full Time, 17% Part Time, 3% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Quantitative Research Internship - Master's: Summer 2027

Quantitative Research Internship - Master's: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Temporary, Internship

Re-posted 24 days ago

Job description

Overview
As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution. Create strategies to execute on modelling ideas under simulated competition
  • Evaluation. Backtest ideas using historical market data and revise strategies
  • Breadth. Explore all aspects of quant work and different areas of Susquehanna's business
  • Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • Masters (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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