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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

Squirl Financial Inc

Software Engineer

Detroit, MI · On-site +1

... develop algorithmic trading strategies that outperformed the S&P 500. Overtime, as our shared experience and connections grew, we eventually transitioned into becoming an advanced quantitative ...

The Trade Desk

Senior Trading Specialist

New York, NY · On-site +1

$109K - $145K/yr

... performance using quantitative and statistical analysis techniques. Develop and implement ... algorithms, optimization logic, and automated decision systems, using performance data modelling ...

New

Nick AI

Backend/DevOps Engineer

Our mission is to democratize algorithmic trading by making advanced AI-driven investment ... Fully remote-friendly, with flexible working hours * Access to cutting-edge AI and trading ...

Wedbush

Analyst, Corporate Development

New York, NY · On-site +1

... algorithmic trading strategies Perform internal audit, quality of earnings, forensic accounting and PE/VC level due diligence, contract risk assessment and quantitative interpretation Market other ...

Akuna Capital

Experienced Options Trader

Chicago, IL · On-site +1

$145K/yr

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge ... Work with our technology and quant teams to ensure existing algorithms are functioning properly

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Remote Algorithmic Trading Quant information

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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

Software Engineer

Squirl Financial Inc

Detroit, MI • On-site, Remote

Part-time

Re-posted 11 days ago

Job description

WHILE THERE IS NO MONETARY COMPENSATION CURRENTLY, THIS POSITION WILL BE COMPENSATED WITH 1-3% EQUITY IN THE COMPANY ALONG WITH A COMPETITIVE SALARY IN THE FUTURE ONCE WE HAVE RAISED A SEED ROUND.
About Squirl:
Founded in early January 2020 by a team of three college sophomores, who had a passion for financial markets and technology, the early roots of Squirl started out as an extracurricular project to develop algorithmic trading strategies that outperformed the S&P 500. Overtime, as our shared experience and connections grew, we eventually transitioned into becoming an advanced quantitative trading firm with deep partnerships to asset management firms globally.
Over the past year, we have been working with BCM Partners to launch our first in-house systematic trading algorithm: a LONG-SHORT global macro strategy that executes on directional trading opportunities in the FX market. We are also testing additional strategies in the equities market that demonstrate significant alpha in backtests.
Throughout our journey, we have gained a more proficient understanding on how to best capitalize on the changing dynamics of financial markets, and our hands-on experiences have allowed our portfolios to excel in even the most volatile of times.
About the position:
We are looking for a part-time Software Engineer who will assist us with the design, development and installation of various software solutions. Your duties will include development, writing code, and documenting functionality.
You should be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design.
Position responsibilities include:
  • Organize full lifecycle software development
  • Prepare specifications and determine operational feasibility
  • Write well designed, testable, efficient code
  • Prepare software verification plans and quality assurance procedures
  • Organize documenting and maintenance of software functionality
  • Integrate software components into a fully functional software system
  • Evaluate and deploy software tools, processes and metrics
  • Provide support and consulting on software systems usage
  • Ensure compliance with project plans and industry standards

Position requirements:
  • 2+ years' experience of working in a Computer Software Engineer or Software Developer position
  • Significant experience with following test-driven development to create software in Python using core language features and the SciPy stack (pandas, numpy, sci-kit learn, etc.)
  • Excellent knowledge of REST APIs, timeseries databases, and UNIX system administration
  • Demonstrated experience in documenting requirements and specifications
  • Close familiarity with software engineering tools, software development methodology and release processes
  • BS degree in Computer Science or Engineering

Perks of joining our team:
  • Flexibility to work whenever you want (apart from weekly team check-ins)
  • Exposure to working with a team that will be following the agile development methodology to rapidly iterate and grow
  • Ability to contribute to the design and development of a product that could be used by thousands of people
  • Joining an up-and-coming startup with plans to disrupt the financial services sector
  • Being surrounded by a team with over 15+ years of combined development experience and 30+ years of trading experience
  • Mentorship to grow as a software engineer and as a stock/option trader
  • Potential to grow within our company through further projects

Apply