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Remote Algorithmic Trader Jobs (NOW HIRING)

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site +1

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Although we are unable to accept fully remote candidates, we support significant flexibility in ...

T3 Trading Group

Experienced Trader

Chicago, IL · On-site +1

Experienced Trader (Remote) T3 Trading Group, LLC is an SEC-registered broker-dealer & member of ... Collaborative environment for directional trading, algorithmic trading, and high frequency trading ...

BHFT

Senior Quantitative Equity Trader

New York, NY · On-site +1

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full ... Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT ...

BHFT

Senior Quantitative Equity Trader

New York, NY · On-site +1

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full ... Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT ...

BHFT

Senior Quantitative Equity Trader

New York, NY · On-site +1

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full ... Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT ...

Crypto.com

Quant Trader (VP)

Charleston, WV · Remote

$300K - $450K/yr

Conduct post-trade analysis to evaluate and refine trading strategies and algorithmic performance ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

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Remote Algorithmic Trader information

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$39.5K

$96.8K

$269.5K

How much do remote algorithmic trader jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote algorithmic trader in the United States is $96,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $105,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Algorithmic Trader vs Remote Quantitative Analyst?

AspectRemote Algorithmic TraderRemote Quantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skills; knowledge of trading algorithmsDegree in finance, mathematics, or statistics; programming skills; data analysis expertise
Work EnvironmentFinancial firms, trading platforms, hedge funds; primarily remoteFinancial institutions, research firms; often remote or hybrid
Industry UsageUsed in trading firms, hedge funds, proprietary trading desksUsed in investment banks, asset management, research firms
Common Search & ComparisonOften compared for trading strategies and algorithm developmentCompared for data analysis and modeling roles

The main difference is that Remote Algorithmic Traders focus on executing trading strategies using algorithms, while Remote Quantitative Analysts develop models and analyze data to inform trading decisions. Both roles require programming and finance knowledge but differ in daily tasks and end goals.

What is a remote algorithmic trader?

A remote algorithmic trader is a financial professional who uses computer algorithms to execute trades in financial markets from a location outside of a traditional office, often working from home. These traders develop, test, and deploy automated trading strategies that analyze market data and make buy or sell decisions with minimal human intervention. The remote aspect allows for flexible work environments while still participating in fast-paced global markets. Successful remote algorithmic traders typically have strong programming, quantitative, and analytical skills. They may work independently or for trading firms, hedge funds, or financial institutions.

What are some common challenges faced by remote algorithmic traders, and how can they be effectively managed?

Remote algorithmic traders often face challenges such as maintaining reliable access to market data, ensuring secure and low-latency connectivity, and managing time zone differences with team members or markets. To address these, traders typically invest in robust internet infrastructure, use VPNs or dedicated trading servers, and establish clear communication protocols with their teams. Additionally, regular collaboration through virtual meetings and documentation helps ensure alignment and quick problem-solving despite physical distance.

What are the key skills and qualifications needed to thrive as a Remote Algorithmic Trader, and why are they important?

To thrive as a Remote Algorithmic Trader, you need strong quantitative analysis, programming expertise (typically in Python or C++), and a solid understanding of financial markets, often supported by a degree in finance, mathematics, or computer science. Familiarity with trading platforms, backtesting tools, and data analysis software, as well as certifications like CFA or FRM, is highly beneficial. Excellent problem-solving, adaptability, and disciplined decision-making set top performers apart in this field. These skills are crucial for developing profitable trading strategies, managing risk, and maintaining competitiveness in a fast-moving, technology-driven environment.
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Remote Algorithmic Trader jobs near you
DeFi Algorithmic Trader

DeFi Algorithmic Trader

Wintermute

New York, NY • On-site, Remote

Full-time

Posted 10 days ago

Job description

About Wintermute
 
Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects.
 
Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here.
 
Working in the DeFi team
 
We're looking for a motivated and curious individual to join our DeFi team full-time. In this role, you'll research on-chain protocols and run data-driven experiments to help advance our understanding of decentralized finance.
 
Our trading approach is deeply rooted in technology - our traders are analytical, programmatic problem solvers who thrive on innovation. In keeping with the builder ethos of the DeFi space, this role will give you the opportunity to wear many hats. You'll likely work across multiple codebases and languages, exploring the frontiers of the ecosystem's design space.
 
We are a tight-knit, collaborative team that values open dialogue and creative exploration. You'll work closely with experienced traders and developers, receiving mentorship while being encouraged to form your own perspectives, challenge ideas, and pursue new areas of inquiry together.
Requirements:
  • Proficiency in programming with at least one of Rust or Python
  • Comfortable working on Linux environments and Git version control
  • Experience with programmatic statistical analysis and quantitative / analytic skills
  • High level understanding of high-frequency market making strategies
  • Understanding of blockchain fundamentals and mechanics of the EVM
  • Familiarity with smart contract development and the Foundry toolkit
  • A passion for learning about protocol microstructure and design mechanisms
Note:
  • Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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