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Remote Quant Jobs in New York (NOW HIRING)

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Perform other duties, as needed Qualifications: * 5+ years of experience in Quantitative Analysis ...

Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Remote Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

Remote candidates will be considered. Responsibilities: -Querying, transforming and extracting data ... quantitative field -2+ years experience of financial data, reporting and accounting -First-hand ...

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Remote Quant information

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

AspectRemote QuantRemote Data Scientist
Required credentialsAdvanced degrees in quantitative fields, such as Math, Physics, or FinanceDegrees in Computer Science, Statistics, or related fields
Work environmentFinancial firms, hedge funds, or trading companiesTech companies, startups, or research organizations
Employer usageUsed for developing trading algorithms and risk modelsUsed for analyzing data, building predictive models, and deriving insights

Remote Quants focus on developing quantitative models for finance and trading, often requiring advanced math and finance knowledge. Remote Data Scientists analyze large datasets to extract insights, typically with a background in computer science or statistics. While both roles involve data analysis, Quants are more finance and algorithm-focused, whereas Data Scientists have a broader application scope across industries.

What are the most commonly searched types of Quant jobs in New York? The most popular types of Quant jobs in New York are:
What cities in New York are hiring for Remote Quant jobs? Cities in New York with the most Remote Quant job openings:
Infographic showing various Remote Quant job openings in New York as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Proprietory Trader (Quant/Systematic Equities) - DTG Capital Markets

DTG Capital Markets

Manhattan, NY • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Build Alpha. Trade Capital. Own Results.

We are seeking Proprietary Quant Traders with experience developing and trading intraday or mid-frequency US equities strategies . This is a front-office role focused on alpha generation, portfolio construction, and live strategy trading/management.

The successful candidate will have a demonstrated experience in research, deployment, and scaling profitable quantitative trading strategies while operating in a disciplined risk management framework.

Key Responsibilities

✔ Research and develop systematic alpha signals and trading strategie

✔ Design, backtest, and deploy quantitative models across US equitie

✔ Manage live trading strategies and monitor performance

✔ Optimize portfolio construction, risk allocation, and execution

✔ Analyze transaction costs, liquidity, and market microstructure

✔ Collaborate with technology and data teams to improve research and trading infrastructure

Ideal Candidate

  1. Proven experience trading systematic US equities strategies
  2. Demonstrated track record of generating risk-adjusted returns
  3. Strong quantitative, statistical, and analytical skills
  4. Deep understanding of portfolio construction and risk management
  5. Experience taking strategies from idea generation through production deployment
  6. Ability to operate independently and drive research initiatives

Technical Skills/Requirements

  1. Python
  2. Quantitative research and backtesting frameworks

Data analysis and statistical modeling

Preferred

  1. C++
  2. Machine learning techniques
  3. Alternative data research

What You'll Get

  1. Access to institutional-grade data, ultra latent technology, and execution infrastructure
  2. Significant autonomy to develop and trade your own ideas
  3. VERY competitive terms: high payout (paid quarterly), no restrictions/ no non-compete, 100% remote, sizable capital allocations (100-500M GMV)