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Quantitative Researcher Machine Learning Jobs (NOW HIRING)

Quantitative Researcher

$150K - $200K/yr

Quantitative Researcher Location: U.S. Remote *Telecommuting permitted: work may be performed in ... Machine Learning predictive models.

Quantitative Researcher

Boston, MA · On-site

$150K - $250K/yr

The Group Quantitative Research and Investing (QRI) is an investments and research division within ... machine learning, network graph analysis, etc. to pursue applications mostly for quant equities but ...

... machine learning techniques to derive forecasts that will be combined with IMC's best-in-class ... Several years (5+ Years) of quantitative research experience, preferably in systematic trading ...

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Quantitative Researcher Machine Learning information

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$52.5K

$119.2K

$196.5K

How much do quantitative researcher machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for quantitative researcher machine learning 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.
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Infographic showing various Quantitative Researcher Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 16% Full Time, and 83% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

$150K - $200K/yr

Full-time

Posted 19 days ago


Job description

Job Title: Quantitative Researcher
Location: U.S. Remote
*Telecommuting permitted: work may be performed in any location in the U.S.
DUTIES: Driving and leading research initiatives under the guidance of a Portfolio Manager to enhance statistical arbitrage-based quantitative models. Developing advanced statistical and computational methods to work with massive data sets. Collaborating with the Project Manager and other team members to improve the existing research environment. Taking a proactive approach to problem-solving, demonstrating a high level of motivation and initiative in the pursuit of innovative trading strategies. Exploring new methodologies and approaches to stay at the forefront of quantitative finance. Staying informed about market trends, emerging technologies, and advancements in quantitative finance.
SALARY: $150,000 - $200,000/year
WORK SCHEDULE: 9am to 5pm, 40 hours a week.
JOB REQUIREMENTS: Master's degree (US or Foreign Equivalent) in Financial Engineering or a related field and two (2) years of experience in the job offered or in a related financial engineering role. Must have two (2) years of experience with: statistical arbitrage in cash equities; feature engineering techniques applicable to price predictions; quantitative finance concepts, statistics, and financial markets; mid-frequency alpha research; customizing back testing algorithms; and Machine Learning predictive models.