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Remote Quantitative Analyst Internship Jobs (NOW HIRING)

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Quantitative Analyst * Risk Quant * Systematic Trading * Algorithmic Trading * Portfolio Analytics ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

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Quantitative Analyst * Risk Quant * Systematic Trading * Algorithmic Trading * Portfolio Analytics ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Analyze complex datasets, investigate market behavior, and uncover insights that inform decision ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Review prospect video and provide analysis to coaching staff Review student-athlete video and ...

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Remote Quantitative Analyst Internship information

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$56.5K

$133.9K

$240K

How much do remote quantitative analyst internship jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote quantitative analyst internship in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a Remote Quantitative Analyst Internship?

A Remote Quantitative Analyst Internship is a temporary, entry-level position where interns work from a remote location to assist organizations with data analysis, mathematical modeling, and financial research. Interns typically use statistical tools and programming languages to analyze large datasets, identify trends, and generate reports that help guide business or investment decisions. This internship provides valuable hands-on experience in quantitative analysis, exposure to industry-standard software, and the opportunity to collaborate with experienced analysts—all while working outside of a traditional office environment.

What are some common challenges faced by remote quantitative analyst interns, and how can they be overcome?

Remote quantitative analyst interns often face challenges such as limited access to immediate feedback, staying connected with team members, and managing time effectively without direct supervision. To overcome these, it's important to proactively communicate with supervisors and colleagues through scheduled check-ins and virtual meetings. Using collaborative tools for data sharing and project tracking can also help maintain productivity and alignment with team goals. Additionally, setting a structured daily routine and seeking out mentorship opportunities within the organization can greatly enhance the remote internship experience.

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

To thrive as a Remote Quantitative Analyst Intern, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, often supported by coursework in economics, finance, or related fields. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and statistical modeling software, is typically required. Excellent problem-solving abilities, clear communication, and the ability to work independently are crucial soft skills for remote collaboration and reporting insights. These skills are essential for accurately analyzing data, supporting decision-making, and contributing effectively to team goals in a remote environment.
More about Remote Quantitative Analyst Internship jobs
What cities are hiring for Remote Quantitative Analyst Internship jobs? Cities with the most Remote Quantitative Analyst Internship job openings:
What are the most commonly searched types of Remote Quantitative Analyst jobs? The most popular types of Remote Quantitative Analyst jobs are:
What states have the most Remote Quantitative Analyst Internship jobs? States with the most job openings for Remote Quantitative Analyst Internship jobs include:
Infographic showing various Remote Quantitative Analyst Internship job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Researcher, Machine Learning - Work From Home

Quantitative Researcher, Machine Learning - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Job description

Quantitative Researcher, Machine Learning - Work From Home
We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development.
The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote.
Quantitative Researcher Responsibilities:
- Develop predictive models and use data-driven insights to maximize strategy performance and identify new trading opportunities.
- Design and implement robust and scalable CI/CD data pipelines.
- Translate machine learning algorithms into code.
- Support current strategies and help develop new strategies utilizing our proprietary software.
- Stay up to date on cutting-edge machine learning techniques.
Quantitative Researcher Qualifications:
- Bachelors in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
- Strong GPA (3.5 or higher).
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
- Practical experience applying machine learning techniques for trading applications is preferred.
- Experience with high-performance computing (HPC) environments such as SLURM is preferred.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.) is preferred.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C++, TDD, CI/CD, Linux, Trading, HPC, SLURM, Orchestration, Containerization, Financial, Programmer Analyst, Programming, Software Developer, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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