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Machine Learning Quant Jobs in New York (NOW HIRING)

Aston Carter

Machine Learning Engineer

Manhattan, NY · Remote

$125/hr

Quantitative research experience, including rigorous analytical design and interpretation. * Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to ...

Visible Hands

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

Root Access, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$140 - $190/hr

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... in quantitative analysis based on data science; 2 years of experience in Python programming ...

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

Collaborate with quantitative analysts to translate trading strategies into ML systems * Optimize ... MS or PhD in Computer Science, Machine Learning, or related field * Track record of deploying ML ...

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Machine Learning Quant information

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$57.4K

$130.4K

$215K

How much do machine learning quant jobs pay per year?

As of Aug 30, 2026, the average yearly pay for machine learning quant in New York is $130,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $166,800.00 per year, depending on experience, location, and employer.

What is a machine learning quant?

A Machine Learning Quant is a specialist in quantitative finance who applies machine learning techniques to develop trading strategies, manage risk, and analyze financial data. They leverage statistical models, deep learning, and reinforcement learning to identify patterns in market data and optimize predictions. This role typically involves programming in Python or C++, working with large datasets, and collaborating with traders and researchers. Machine Learning Quants are employed by hedge funds, investment banks, and proprietary trading firms to gain a competitive edge in financial markets.

What are typical daily responsibilities for a machine learning quant in a financial firm?

As a Machine Learning Quant, your day often involves researching and developing predictive models using large financial datasets, backtesting quantitative strategies, and optimizing algorithms for speed and accuracy. You'll collaborate closely with traders, data engineers, and other quants to implement models in live trading environments and refine them based on performance feedback. Regular activities also include monitoring new data sources, adjusting to changes in the market, and documenting your methodologies for regulatory or team review. This multidisciplinary work environment offers the opportunity to continuously learn and directly impact trading outcomes.

What are the key skills and qualifications needed to thrive as a machine learning quant?

To thrive as a Machine Learning Quant, you need strong skills in quantitative analysis, programming (often in Python or C++), statistical modeling, and a solid foundation in applied mathematics, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), financial data platforms, and certifications such as CFA or advanced degrees can be advantageous. Critical thinking, collaboration, and clear communication are key soft skills that enhance effectiveness in working with both technical and non-technical stakeholders. These competencies are crucial for building and validating models that inform high-stakes financial strategies and deliver value in fast-paced trading environments.

What are the most commonly searched types of Machine Learning Quant jobs in New York?

The most popular types of Machine Learning Quant jobs in New York are:

What are popular job titles related to Machine Learning Quant jobs in New York?

For Machine Learning Quant jobs in New York, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quant jobs in New York look for?

The top searched job categories for Machine Learning Quant jobs in New York are:

Machine Learning Quant jobs near you
Infographic showing various Machine Learning Quant job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 10% Hybrid, and 11% Remote job distribution, with an average salary of $130,371 per year, or $62.7 per hour.

Machine Learning Quantitative Researcher - eFinancialCareers

eFinancialCareers

Manhattan, NY • On-site

Full-time

Re-posted 27 days ago

Job description

A high-performing research team comprised of some of the industry's brightest researchers, scientists, and engineers is hiring! We are a team comprised of individuals from the top research laboratories, and Big Tech companies in applying cutting-edge machine learning techniques to quantitative finance. And, no prior quant finance experience is required!

We believe that quantitative finance principles can be taught, and are focused on identifying top research talent within the following verticals, who are open to working within quant finance:

  1. Machine Learning
  2. Quantum Computing
  3. Algorithm Development
  4. Optimization
  5. Natural Language Processing
  6. LLMs
  7. Artificial Intelligence
  8. Mathematics, Statistics, or Physics

If interested in learning more about this opportunity, apply in now!

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