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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

Hyphen Connect Limited

$128K - $168K/yr

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

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 ...

NextStep

Options Desk Quant - Work From Home

Unlike a lot of other firms, our quants work closely with our dedicated trading and technology teams. This position is a 100% Remote opportunity. Responsibilities: * Help maintain and extend the firm ...

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Remote Algorithmic Trading Quant information

See salary details

$52.5K

$119.2K

$196.5K

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

As of Aug 8, 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?

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.
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:
Remote Algorithmic Trading Quant jobs near you
Infographic showing various Remote Algorithmic Trading Quant job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Market Conduct Specialist - Fully Remote | Upto $100/hr

Mercor

New York, NY • Remote

$100/hr

Full-time

Re-posted 19 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Trade Surveillance Expert (Market Abuse & Conduct Monitoring)
Type: Contract
Compensation: $100/hour
Location: Remote

Role Responsibilities

  • Review and analyze simulated and real-world trading scenarios for indicators of market abuse.
  • Evaluate AI-generated surveillance alerts to determine escalation, closure, or further investigation.
  • Develop and refine surveillance evaluation rubrics for Insider Trading, Market Manipulation, Spoofing & Layering, and more.
  • Assess trade surveillance workflows and alert investigation methodologies.
  • Provide expert feedback on AI-generated case narratives, investigations, and regulatory reasoning.
  • Validate whether surveillance conclusions align with applicable regulations and industry best practices.
  • Contribute domain expertise to improve AI models used for compliance monitoring and financial crime detection.

Qualifications

Must-Have

  • 5+ years of experience in Trade Surveillance, Market Surveillance, Market Abuse Monitoring, Compliance Surveillance, or Regulatory Oversight.
  • Hands-on experience with surveillance platforms such as Nasdaq SMARTS, NICE Actimize, Eventus Validus, ACA Sigma, SteelEye, eFlow, OneMarket Surveillance, TradingHub, or similar solutions.
  • Strong understanding of market abuse regulations and frameworks, including SEC and FINRA regulations, MAR (Market Abuse Regulation), MiFID II, FCA market conduct requirements, and exchange surveillance standards.
  • Experience investigating surveillance alerts and documenting case outcomes.
  • Familiarity with equities, options, futures, fixed income, FX, commodities, or digital asset markets.
  • Ability to clearly articulate investigative reasoning and regulatory conclusions in written form.
  • Fluent English communication skills.

Preferred

  • Experience at investment banks, broker-dealers, exchanges, regulatory agencies, hedge funds, proprietary trading firms, or surveillance technology providers.
  • Prior involvement in surveillance model tuning, alert calibration, threshold optimization, or surveillance program design.
  • Experience working directly with regulators or responding to regulatory inquiries and examinations.
  • Knowledge of algorithmic trading, high-frequency trading, and electronic market structure.
  • Certifications such as CAMS, CISI, CFA, FRM, or equivalent compliance-related credentials.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.