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Remote Machine Learning Quant Jobs in Iselin, NJ

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

  • Medical

  • Retirement

Master's degree in Computer Science, Statistics, Data Science, or related quantitative field plus ... Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field * 5 + years experience in Python * 3+ years experience in machine learning research, with a ...

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

  • Medical

  • PTO

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Apply statistical and machine-learning techniques to generate, validate, and improve trading ...

OptionMetrics

Quant Associate

New York, NY · On-site +1

$130K - $160K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Exposure to machine learning techniques or predictive modeling. * Internship or research experience within quantitative finance, financial engineering, or capital markets. * Intellectual curiosity, a ...

OptionMetrics

Quant Associate

New York, NY · On-site +1

$130K - $160K/yr

Exposure to machine learning techniques or predictive modeling. * Internship or research experience within quantitative finance, financial engineering, or capital markets. * Intellectual curiosity, a ...

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site

$190K - $220K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience in Data Science, Machine Learning, Quantitative Analytics, Applied AI, or related fields, with a proved track record of success. * Experience building and deploying production-grade ...

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Remote Machine Learning Quant information

See Iselin, NJ salary details

$11.2K

$131.7K

$201.1K

How much do remote machine learning quant jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote machine learning quant in Iselin, NJ is $131,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $140,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What cities near Iselin, NJ are hiring for Remote Machine Learning Quant jobs?

Cities near Iselin, NJ with the most Remote Machine Learning Quant job openings:

Remote Machine Learning Quant jobs near you

Machine Learning Research Scientist (Remote)

Moody's Analytics

New York, NY • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice. 

Broadly, we are looking for colleagues who are passionate about: 

  • Natural language processing 
  • Information retrieval 
  • Information extraction 
  • Graph Neural Networks 
  • Recommender systems 
  • Knowledge graphs 
  • Explainable AI 

 

We'll trust you to: 
 

  • Collaborate with colleagues on production systems and applications 
  • Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace 
  • Work on POCs and research prototypes 
  • Provide thought leadership in machine learning 
  • Represent Moody's Analytics at scientific and industry conferences 
  • Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR 
     

You'll need to have: 

  • Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience. 
  • Publication record in top-tier academic conferences and journals 
  • Proficiency in modern programming languages such as Python 
  • Proficiency in leading research projects 

Nice to have: 

  • Experience with MLOPs technologies and workflows 
  • Experience in working with engineering teams on taking research prototypes to production
Employment Type: FULL_TIME

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