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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

A track record of building quantitative systems that run in production - algorithmic trading ... Benefits & perks; * Remote first - work from anywhere in the US & Canada * Regular in-person ...

Remote Finance Expert

Manhattan, NY · Remote

$200 - $300/hr

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

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

... the algorithm is rewarding this week Requirements What we're looking for * A portfolio that shows ... Background or genuine interest in markets, trading, quant finance, or technical subjects - you do ...

As a part of our Quant team, you'll be studying the crypto market to find profitable trading ... Solid grasp of data structures, algorithms, software engineering principles, and version control.

Systematic Equity Options Trader

Chicago, IL · On-site +1

$170K - $250K/yr

Collaborate with quantitative researchers to translate research insights into production trading ... Must have a strong understanding of the market microstructure and execution algorithms * Excellent ...

... trading opportunities. * Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of corporate ...

... on trading opportunities. * Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of ...

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

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Remote Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do remote algorithmic trading quant jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote algorithmic trading quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a remote algorithmic trading quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What are the key skills and qualifications needed to thrive as a remote algorithmic trading quant?

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

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Infographic showing various Remote Algorithmic Trading Quant job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Senior Quantitative Trader (US Equities)

BHFT

New York, NY • On-site, Remote

Full-time

Medical

Posted 6 days ago


Job description

Company Description
BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms.
Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies.
We've got a team of 200+ professionals, with a strong emphasis on technology - 70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations, and more.
Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization.
At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward.
Job Description
We are building a new systematic US equities trading initiative and are looking for experienced traders with a strong understanding of alpha generation, portfolio construction, and execution.
Responsibilities
  • Develop and evaluate systematic equity trading opportunities.
  • Collaborate with research and technology teams on strategy deployment.
  • Identify new sources of alpha across US equities.
  • Drive improvements in execution and portfolio construction.
  • Participate in the design of trading infrastructure and analytics.

Qualifications
Requirements
  • 5+ years trading US equities.
  • Experience running or contributing to profitable systematic strategies.
  • Understanding of alpha generation, risk management and portfolio construction.
  • Experience with intraday and/or medium-frequency strategies.
  • Strong understanding of market microstructure.

Preferred experience
  • Stat arb
  • Factor models
  • ETF arbitrage
  • Event-driven trading
  • Market making
  • Execution alpha
  • Short-term prediction models

Additional Information
What we offer:
  • Experience a modern international technology company without the burden of bureaucracy.
  • Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more.
  • Enjoy excellent opportunities for professional growth and self-realization.
  • Work remotely from anywhere in the world with a flexible schedule.
  • Receive compensation for health insurance, sports activities, and non-professional training.