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Remote Quantitative Developer Intern Jobs (NOW HIRING)

Shure

Acoustical Engineering Intern

Niles, IL · On-site +1

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... The Acoustical Engineering Intern will assist with the design, prototyping, and testing of cutting ...

Shure

Acoustical Engineering Intern

Niles, IL · On-site +1

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... The Acoustical Engineering Intern will assist with the design, prototyping, and testing of cutting ...

Shure

Acoustical Engineering Intern

Niles, IL · On-site +1

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... The Acoustical Engineering Intern will assist with the design, prototyping, and testing of cutting ...

Stryker

Mechanical Engineering Intern

MA · Remote

$35/hr

Opportunities Available As a Mechanical Engineering intern at Stryker, you will be placed in one of ... quantitative testing of the technical specifications of the product. A team's experience ranges ...

Databento

Quantitative Sales Associate

Chicago, IL · Remote

... developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders ... We accommodate 100% remote work, with teammates living around the globe and paid in their local ...

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Remote Quantitative Developer Intern information

What does a remote quantitative developer intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

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

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

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

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

What is the difference between Remote Quantitative Developer Intern vs Quantitative Analyst Intern?

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

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What states have the most Remote Quantitative Developer Intern jobs?

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What are popular job titles related to Remote Quantitative Developer Intern jobs?

For Remote Quantitative Developer Intern jobs, the most frequently searched job titles are:

Remote Quantitative Developer Intern jobs near you
Infographic showing various Remote Quantitative Developer Intern job openings in the United States as of September 2026, with employment types broken down into 18% Internship, 66% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Summer. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Machine Learning Quantitative Researcher - Work From Home

Chicago, IL • On-site, Remote

Next Step Systems
IT Services • 11 - 50 employees
Learn more about Next Step Systemsexternal

Full-time

Medical, Dental, Vision, Life

Re-posted 5 days ago

Job description

Machine Learning Quantitative Researcher - Work From Home
We are currently looking for a Machine Learning Quantitative Researcher for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote.
Machine Learning Quantitative Researcher Responsibilities:
We are seeking a talented and self-motivated Quantitative Researcher to join a 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.
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.
Machine Learning Quantitative Researcher Qualifications:
- Bachelor's in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or a 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.
Machine Learning Quantitative Researcher Preferred Experience
- Practical experience applying machine learning techniques for trading applications.
- Experience with high-performance computing (HPC) environments such as SLURM.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.).
Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
Keywords: Chicago IL Jobs, Machine Learning Quantitative Researcher, Machine Learning, Quant Researcher, Statistics, C++, Python, Linux Stack, Test Driven Development, TDD, CI/CD, Distributed Computing, Trading, Financial, 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 Machine Learning 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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