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Quantitative Developer Remote Jobs in Carteret, NJ

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... You have an advanced degree in a quantitative field, such as computer science, engineering, physics ...

Tradeweb Markets

Senior Java Algo Developer

New York, NY · On-site +1

$62.75 - $79.75/hr

Tradeweb Technology jobs are fully remote. The Tradeweb Technology hub is in our Jersey City office ... Partner with our in-house quant team - translate their signals and research into algorithmic ...

Keyrock

Engineering Lead- Options

New York, NY · On-site +1

$112K - $147K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Engineering Lead- Options

New York, NY · Remote

$104K - $138K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Head of Engineering - Options

New York, NY · On-site +1

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Head of Engineering - Options

New York, NY · Remote

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Medidata Solutions

Pricing Advisor (Remote)

New York, NY · On-site +1

... and quantitative data to make decisions and recommendations regarding price related topics • ... engineering, or other similar discipline • MBA is preferred • 8+ years of experience in mid ...

3ds

Pricing Advisor (Remote)

New York, NY · On-site +1

... and quantitative data to make decisions and recommendations regarding price related topics • ... engineering, or other similar discipline • MBA is preferred • 8+ years of experience in mid ...

Peloton

Sr. User Researcher

New York, NY · On-site +1

Collaborate with Product Managers, Industrial Designers, Engineers, and Field Testing Program ... Conduct qualitative and quantitative research using a range of tools and approaches (e.g ...

Splice

Senior Product Manager, Growth (Remote US)

New York, NY · Remote

$138K - $182K/yr

... quantitative and qualitative data to decide what scales. * Partner closely with design to shape ... Drive delivery alongside engineering: write crisp specs, run sprints, track progress, hold the ...

Rakuten Shop Style

Sr. UX Researcher

New York, NY · Remote

Remote opportunity available in the following states: CA, CO, CT, DC, FL, IL, MI, MN, NH, NJ, NY ... Design and execute qualitative and quantitative research across discovery, evaluation, and ...

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Quantitative Developer Remote information

See Carteret, NJ salary details

$99.4K

$172.2K

$263.3K

How much do quantitative developer remote jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative developer remote in Carteret, NJ is $172,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,400.00 and $201,900.00 per year, depending on experience, location, and employer.
What cities near Carteret, NJ are hiring for Quantitative Developer Remote jobs? Cities near Carteret, NJ with the most Quantitative Developer Remote job openings:
Quantitative Developer Remote jobs near you

Data Scientist

Precision Technologies Corp

New York, NY • Remote

$130K - $135K/yr

Full-time

Re-posted 15 days ago

Job description

Role: Data Scientist

Location: Remote, however travel might be required as per business requirements

FTE Only

Where you’re headed

You’ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you’ll interpret and offer recommendations based on insights from the data.

Where you’ve been

You’re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or applied mathematics, and have:

Job Description:

  • Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data analysis
  • Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python, R, Scala)
  • Experience working with large datasets, data pipelines, and relational databases
  • A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and non‑technical stakeholders
  • Excellent problem‑solving skills with the ability to analyze issues, identify root causes, and recommend solutions quickly
  • Proven experience building, validating, and deploying machine learning models end‑to‑end in production environments 
  • Strong understanding of model performance evaluation, experiment design, and model lifecycle management 
  • Ability to translate business problems into analytical frameworks and measurable success metrics 
  • Experience working cross‑functionally with engineering, product, and business teams to deliver impact at scale

 

Good to Have:

  • Experience with Generative AI, including large language models (LLMs), prompt engineering, fine‑tuning, and retrieval‑augmented generation (RAG) 
  • Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory, and multi‑agent workflows 
  • Familiarity with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment and monitoring 
  • Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with an understanding of scalability and cost considerations 
  • Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance