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Quantitative Researcher Machine Learning Jobs (NOW HIRING)

... Quantitative Researcher with 3-5 years of experience to develop and improve systematic trading signals using machine learning and statistical methods. The role focuses on non-linear signal modeling ...

... Quantitative Researcher with 3-5 years of experience to develop and improve systematic trading signals using machine learning and statistical methods. The role focuses on non-linear signal modeling ...

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

You will apply rigorous statistical and machine-learning methodologies to diverse financial ... Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge ...

Quantitative Researcher

Manhattan, NY · On-site

$200K - $300K/yr

You will apply rigorous statistical and machine-learning methodologies to diverse financial ... Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge ...

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

You will apply rigorous statistical and machine-learning methodologies to diverse financial ... Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge ...

What you'll do as a Quantitative Researcher at Akuna: Akuna's Trading and Research teams are ... Design and optimize machine learning workflows to support scalable, efficient, and reproducible ...

What you'll do as a Quantitative Researcher at Akuna: Akuna's Trading and Research teams are ... Design and optimize machine learning workflows to support scalable, efficient, and reproducible ...

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Quantitative Researcher Machine Learning information

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$52.5K

$119.2K

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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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What cities are hiring for Quantitative Researcher Machine Learning jobs? Cities with the most Quantitative Researcher Machine Learning job openings:
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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.

Quantitative Researcher: Machine Learning

Two Sigma Investments, LP

New York, NY • On-site

$165K - $325K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 8 days ago


Job description

Quantitative Researcher: Machine Learning
Location
NY New York
United States
Business
Investment Management
Function
Quantitative Research
Experience Level
Experienced
Share this job
Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
We are looking for a quantitative researcher with an excellent background in statistical techniques, machine learning, and data analysis. In this role, you will navigate the full research process and apply a rigorous scientific approach to design sophisticated investment models for trading a variety of global markets.
You will take on the following responsibilities:
  • Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave
  • Apply machine learning to a vast array of datasets
  • Create and test complex investment ideas and partner with our engineers to test your hypotheses
  • Join our reading circles to stay up to date on the latest research papers in your field
  • Attend academic seminars to learn from thought leaders from top universities
  • Share insights from conferences focused on statistics, machine learning, and data science

You should possess the following qualifications:
  • Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor's to doctorate)
  • Intermediate skills in at least one programming language (like C, C++, Java, or Python)
  • Understanding of the ins and outs of machine learning algorithms-and can tweak them as needed
  • Experience with applied machine learning to real-world datasets
  • Published your work in journals and/or have presented at conferences

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $325,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.