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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

Crypto.com

Quant Researcher, OEX

Charleston, WV · Remote

$100K - $230K/yr

You will be contributing to the building of a fast-growth trading platform with innovative, multi ... Design optimal automated liquidation logic and algorithms to balance market risk with market impact ...

Crypto.com

Quant Researcher, OEX

$100K - $230K/yr

You will be contributing to the building of a fast-growth trading platform with innovative, multi ... Design optimal automated liquidation logic and algorithms to balance market risk with market impact ...

Databento

Software Engineer (C++/Rust)

Boston, MA · On-site +1

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 ...

Databento

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 ...

Databento

Software Engineer (C++/Rust)

Chicago, IL · On-site +1

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 ...

WallStreetQuants

Head of Content and Audience Growth

$100K - $150K/yr

We train candidates for roles in quant trading, quant research, quant development, and other elite ... Remote work flexibility * High-ownership role with direct impact on company growth * Opportunity to ...

Nurp

Relationship Manager (Remote)

Miami, FL · Remote

$62K/yr

ABOUT OUR COMPANY Nurp builds smart trading algorithms that help people trade more effectively ... BENEFITS * 100% Remote work. * Paid time off. * Health insurance. * Dental insurance. * Vision ...

Nurp

Relationship Manager (Remote)

Miami, FL · Remote

$75K - $122K/yr

ABOUT OUR COMPANY Nurp builds smart trading algorithms that help people trade more effectively ... BENEFITS * 100% Remote work. * Paid time off. * Health insurance. * Dental insurance. * Vision ...

Nurp

Relationship Manager (Remote)

Miami, FL · On-site +1

$75K - $122K/yr

ABOUT OUR COMPANY Nurp builds smart trading algorithms that help people trade more effectively ... BENEFITS * 100% Remote work. * Paid time off. * Health insurance. * Dental insurance. * Vision ...

WallStreetQuants

Quant Recruiter

We help aspiring quants prepare for and land roles at top quantitative trading firms, hedge funds ... Flexible, remote-first environment with autonomy over how you structure your work. * Real impact ...

Farther

Portfolio Quant Developer

New York, NY · On-site +1

The Role Farther's trading team is building institutional-grade portfolio management and order ... Contribute to execution algorithm development - including market impact measurement and VWAP-style ...

The Voleon Group

Manager - Trade Surveillance

Berkeley, CA · On-site +1

$160K - $190K/yr

... quantitative trading strategies. Reporting to the Global Chief Compliance Officer, you will build ... Build out a suite of monitoring reports that actively reviews algorithmic trading for anomalies and ...

Hyphen Connect Limited

$128K - $168K/yr

Work with the Quant team to develop, test, and refine our various trading algorithms ... REMOTE

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Remote Algorithmic Trading Quant information

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$119.2K

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

As of Jul 16, 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 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.

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

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.
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Remote Algorithmic Trading Quant jobs near you

Junior-Mid Options Trader (US Hours)

G-20 Group

New York, NY • On-site, Remote

Full-time

Posted 2 days ago

Job description

About G-20 

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. 

Role Overview 

As an Options Trader at G-20 Group, you will be responsible for managing a discretionary options portfolio across a number of asset classes. You will work with a team of traders, quantitative analysts, and developers to generate superior risk-adjusted returns for the firm. This role offers a unique opportunity to contribute to the growth of a highly successful trading firm in a fast-paced and dynamic environment.

Key Responsibilities 

  • Develop, implement, and optimize options trading strategies across global markets.
  • Analyze market data and leverage quantitative models to identify profitable trading opportunities.
  • Monitor and manage risk exposures, ensuring strategies align with risk management protocols.
  • Collaborate with data scientists, quants, and other traders to refine and improve trading algorithms and strategies.
  • Stay up-to-date on market trends, news, and economic events that could impact options prices and volatility.
  • Execute trades and manage positions effectively, ensuring optimal execution and liquidity.
  • Contribute to the continuous improvement of G-20 Group's trading systems and technologies.
  • Willingness to work an adjusted schedule covering the US market (equivalent to 1pm-10pm UK hours) and some weekend coverage as required. 

Requirements

  • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university.
  • Strong background in options trading with a solid understanding of the options market and strategies.
  • Proven track record of generating consistent profits (PnL >$2m for more than 3 years).
  • Experience with quantitative trading and the ability to apply data analysis to trading decisions.
  • Strong knowledge of financial markets, particularly options pricing, volatility, and risk management.
  • Exceptional analytical and problem-solving skills with the ability to make quick, data-driven decisions.
  • Excellent communication and teamwork skills, with the ability to collaborate effectively across teams.
  • A results-driven, proactive, and self-motivated approach.

Preferred / Desirable Experience 

  • Proficiency in programming languages such as Python, C++, or similar (preferred). 

Right to work: This role can be based from our London or New York offices covering US Hours. Only candidates who possess the pre-existing right to work in London or the US without requiring company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector. 

Apply