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Remote Quant Jobs in New York (NOW HIRING)

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

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 ...

Turing

Remote Finance Expert

Manhattan, NY · Remote

$200 - $300/hr

... quant, investment banking, private equity, corporate finance, accounting, and others. If you enjoy ... Fully remote and flexible work environment. * Competitive hourly compensation of ~$100+/hour ...

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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.

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

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

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Infographic showing various Remote Quant job openings in New York as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

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

DTG Capital Markets

Manhattan, NY • On-site, Remote

Full-time

Re-posted 23 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)

Apply