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Remote Quantitative Trader Jobs (NOW HIRING)

Databento

Quantitative Sales Associate

Chicago, IL · Remote

We accommodate 100% remote work, with teammates living around the globe and paid in their local ... Experience with quant trading and market microstructure. * Extreme attention to detail and record ...

WallStreetQuants

Quant Recruiter

... quantitative trading firms, hedge funds, and proprietary trading shops. Our community includes ... Flexible, remote-first environment with autonomy over how you structure your work. * Real impact ...

Clera

Member of Technical Staff

Palo Alto, CA · Remote

$150K - $230K/yr

Collaborate with a tight-knit team of engineers from top quant trading firms and university ... Remote work is not available for this position.

Posted today

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$31K

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$146K

How much do remote quantitative trader jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote quantitative trader in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Remote Quantitative Trader?

As a Remote Quantitative Trader, your workday usually involves analyzing large data sets, developing and testing trading algorithms, monitoring market movements, and adjusting strategies based on real-time information. You’ll collaborate with other traders, researchers, and engineers through virtual meetings and shared digital platforms. The role demands a mix of independent focus—often for research and coding—and teamwork for strategy development and risk management. Flexibility and strong time-management skills are important, as you may need to respond quickly to market opportunities or global events, sometimes outside standard business hours.

What are the key skills and qualifications needed to thrive in the Remote Quantitative Trader position, and why are they important?

To thrive as a Remote Quantitative Trader, you should have a strong background in mathematics, statistics, and programming, often supported by a degree in quantitative fields such as finance, physics, or engineering. Expertise in programming languages like Python or C++, experience with trading platforms, and familiarity with data analysis tools and financial modeling software are typically essential. Strong analytical thinking, self-motivation, and clear communication skills help set top performers apart in remote and team-based environments. These skills ensure you can develop and execute trading strategies effectively, adapt to rapidly changing markets, and collaborate across distributed teams for optimal results.

What is a Remote Quantitative Trader job?

A Remote Quantitative Trader analyzes market data, develops trading strategies, and executes trades using quantitative methods, all while working remotely. They use programming, statistics, and mathematical models to identify profitable opportunities in financial markets. Typically, they work with automated trading systems and collaborate with other traders or researchers to refine strategies. This role requires strong analytical skills, proficiency in coding (such as Python or C++), and a deep understanding of financial markets. Remote Quantitative Traders often work for hedge funds, proprietary trading firms, or financial institutions.

More about Remote Quantitative Trader jobs
What cities are hiring for Remote Quantitative Trader jobs? Cities with the most Remote Quantitative Trader job openings:
What are the most commonly searched types of Quantitative Trader jobs? The most popular types of Quantitative Trader jobs are:
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Remote Quantitative Trader jobs near you
Infographic showing various Remote Quantitative Trader job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

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

DTG Capital Markets

Manhattan, NY • On-site, Remote

Full-time

Re-posted 20 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)

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