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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

Location Remote Employment Type Full time Department Quantitative Research Wormhole Labs builds ... Algorithmic trading experience (managing systematic trading systems) Maching learning (e.g. ridge ...

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Engineering Lead- Options

New York, NY · Remote

$104K - $138K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Engineering Lead- Options

New York, NY · On-site +1

$112K - $147K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Create algorithmic trading tools to automate and improve trade execution processes. * Use ... Proven track record in quantitative trading and client execution within crypto or similar financial ...

What you'll do: • Design and optimize systematic options trading strategies using quantitative research and machine learning techniques • Build and refine algorithmic trading models from ideation ...

... of algorithmic trading experience A proven track record in the last 2-3 years Having your own ... remote/hybrid team with variable, project-based responsibilities NICE-TO-HAVE Experience with ...

Trading Analyst

New York, NY · Remote

$145K - $185K/yr

... Remote | New York, NY, United States Trading Analyst - Initio Capital Location: New York, NY ... Familiarity with quantitative analysis , statistical models, and trading algorithms * Proficiency ...

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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 Jun 4, 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 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.

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.

More about Remote Algorithmic Trading Quant jobs
What cities are hiring for Remote Algorithmic Trading Quant jobs? Cities with the most Remote Algorithmic Trading Quant job openings:
What are the most commonly searched types of Algorithmic Trading Quant jobs? The most popular types of Algorithmic Trading Quant jobs are:
What states have the most Remote Algorithmic Trading Quant jobs? States with the most job openings for Remote Algorithmic Trading Quant jobs include:
What job categories do people searching Remote Algorithmic Trading Quant jobs look for? The top searched job categories for Remote Algorithmic Trading Quant jobs are:
Infographic showing various Remote Algorithmic Trading Quant job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 85% Full Time, 4% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Remote Quantitative Analyst (Finance)

Remote Quantitative Analyst (Finance)

Turing

San Bernardino, CA • On-site, Remote

$100/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

What Does Day-to-Day Look Like

  • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification.
  • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Requirements

  • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling).
  • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory.
  • Excellent English written communication.

Bonuses (Not at All Necessary)

  • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.

Perks of Freelancing with Turing

  • Work on the cutting edge of AI and finance.
  • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.

Offer Details

  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.

After applying, you'll receive a login link by email. Please complete your profile promptly so we can proceed with your application.

We're actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.