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Remote Quantitative Trader Jobs (NOW HIRING)

WallStreetQuants

Quant Recruiter

... quantitative trading firms, hedge funds, and proprietary trading shops. Our community includes ... Flexible, remote-first environment with autonomy over how you structure your work. * Real impact ...

Databento

Quantitative Sales Associate

Chicago, IL · Remote

We accommodate 100% remote work, with teammates living around the globe and paid in their local ... Experience with quant trading and market microstructure. * Extreme attention to detail and record ...

BluZinc

HR Generalist

Dallas, TX · On-site +1

$80K - $120K/yr

... quantitative trading, technology, data science, and digital finance * Confident, proactive communicator able to influence at all levels * Comfortable working in a dynamic, distributed (remote ...

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Remote Quantitative Trader information

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$31K

$90.6K

$146K

How much do remote quantitative trader jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote quantitative trader in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Remote Quantitative Trader?

As a Remote Quantitative Trader, your workday usually involves analyzing large data sets, developing and testing trading algorithms, monitoring market movements, and adjusting strategies based on real-time information. You’ll collaborate with other traders, researchers, and engineers through virtual meetings and shared digital platforms. The role demands a mix of independent focus—often for research and coding—and teamwork for strategy development and risk management. Flexibility and strong time-management skills are important, as you may need to respond quickly to market opportunities or global events, sometimes outside standard business hours.

What are the key skills and qualifications needed to thrive in the Remote Quantitative Trader position, and why are they important?

To thrive as a Remote Quantitative Trader, you should have a strong background in mathematics, statistics, and programming, often supported by a degree in quantitative fields such as finance, physics, or engineering. Expertise in programming languages like Python or C++, experience with trading platforms, and familiarity with data analysis tools and financial modeling software are typically essential. Strong analytical thinking, self-motivation, and clear communication skills help set top performers apart in remote and team-based environments. These skills ensure you can develop and execute trading strategies effectively, adapt to rapidly changing markets, and collaborate across distributed teams for optimal results.

What is a Remote Quantitative Trader job?

A Remote Quantitative Trader analyzes market data, develops trading strategies, and executes trades using quantitative methods, all while working remotely. They use programming, statistics, and mathematical models to identify profitable opportunities in financial markets. Typically, they work with automated trading systems and collaborate with other traders or researchers to refine strategies. This role requires strong analytical skills, proficiency in coding (such as Python or C++), and a deep understanding of financial markets. Remote Quantitative Traders often work for hedge funds, proprietary trading firms, or financial institutions.

More about Remote Quantitative Trader jobs
What cities are hiring for Remote Quantitative Trader jobs? Cities with the most Remote Quantitative Trader job openings:
What are the most commonly searched types of Quantitative Trader jobs? The most popular types of Quantitative Trader jobs are:
What states have the most Remote Quantitative Trader jobs? States with the most job openings for Remote Quantitative Trader jobs include:
What job categories do people searching Remote Quantitative Trader jobs look for? The top searched job categories for Remote Quantitative Trader jobs are:
Remote Quantitative Trader jobs near you
Infographic showing various Remote Quantitative Trader job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Researcher, Machine Learning - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 26 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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