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Quantitative Researcher Machine Learning Jobs (NOW HIRING)

IMC

Quantitative Researcher - Futures

Chicago, IL

... 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 ...

IMC

Quantitative Researcher - Futures

Chicago, IL · On-site

$250K - $300K/yr

... 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 ...

Jane Street

Quantitative Researcher

New York, NY · On-site

About the Position We are looking for Quantitative Researchers to help us build models, strategies ... machine learning techniques, from linear models to deep learning, depending on what best fits a ...

Jane Street

Quantitative Researcher

New York, NY · On-site

About the Position We are looking for Quantitative Researchers to help us build models, strategies ... machine learning techniques, from linear models to deep learning, depending on what best fits a ...

DRW

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

DRW is looking for Quantitative Researchers to join our expanding Mid-Frequency Systematic Trading ... Apply statistical and machine learning methods across diverse datasets to build trading models that ...

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

As of Jun 25, 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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Quantitative Researcher

Quantitative Researcher

LaBine and Associates (LaBine & Associates)

Manhattan, NY • On-site

Other

Posted 26 days ago

Job description

Senior Quantitative Researcher opportunity with a high-frequency trading team focusing on developing alpha-driven trading strategies on the global markets using scientifically rigorous research and cutting-edge technology. This role will work closely with the team leader and other members on data processing, signal generation, modeling, strategy simulation and calibration, and developing the team’s research pipeline and simulation environments. This is a rare opportunity for an experienced researcher to join a well-positioned team at an early stage to deliver measurable and long-lasting PnL impact while collaborating with individuals with proven experience building some of the most profitable high-frequency strategies in the world.

Required Skills, Qualifications and Experience:

  • Bachelors or advanced degree in a STEM major
  • Strong intuition, hands-on mentality, and a keen interest in playing with data
  • Knowledge of statistics, statistical modeling or machine learning techniques and knowing whether, when and how to apply them in data-driven research
  • Programming skills in C++
  • Programming skills in Python or other scripting languages
  • Ideally 4+ years of working experience in quantitative trading, preferably in high-frequency trading
  • Demonstrated ability to write well-documented code
  • Passion for building research pipelines and tools
LaBine and Associates logo

About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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