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Remote Algorithmic Trading Quant Jobs in Secaucus, NJ

Aquatic Capital Management

Software Engineer

New York, NY · On-site +1

$220K - $230K/yr

Build production trading systems and create automated infrastructure to accelerate delivery of new ... learning algorithms Must live within normal commuting distance of worksite. Remote working is ...

Old Mission

C++ Software Engineer

New York, NY · On-site +1

$175K - $300K/yr

... our Traders and Quants to develop the next generation of the firm's trading algorithms and ... In office Monday-Friday with 10 remote days per year Base Salary Range $175,000 - $300,000 ...

Mercor

Bond Trader | Upto $180/hr

New York, NY · Remote

$180/hr

... Trading Expert Type: Flexible, project-based Compensation: $150-$180/hour Location: Remote Role ... Experience with quant tools ( Python , Excel modeling ). * Familiarity with Bloomberg , MarketAxess ...

Luxoft

Senior Java Developer Fixed Income Cash

Manhattan, NY · On-site +1

$63 - $80.50/hr

... trading, quantitative, compliance and risk, and IT functions to deliver new trading capabilities and services leveraging modern technologies and data & software architectures. For Hybrid Remote work ...

Paxos Labs

DeFi Researcher

New York, NY · On-site +1

Quantitative Risk Analysis * TradFi Trading Strategies * DeFi Trading Strategies Responsibilities ... Manage algorithm design and backtesting to produce actionable insights for DeFi portfolio ...

Mercor

Fixed Income Trader

New York, NY · Remote

$150 - $180/hr

... Trading Expert Type: Flexible, project-based Compensation: $150-$180/hour Location: Remote Role ... Experience with quant tools ( Python , Excel modeling ). * Familiarity with Bloomberg , MarketAxess ...

Mercor

Credit Trader | Upto $180/hr

New York, NY · Remote

$180/hr

... Trading Expert Type: Flexible, project-based Compensation: $150-$180/hour Location: Remote Role ... Experience with quant tools ( Python , Excel modeling ). * Familiarity with Bloomberg , MarketAxess ...

Gelber Group

Experienced Energy Trader

New York, NY · On-site +1

$72K - $120K/yr

... remote candidates. What you'll do: * Manage your own trading book with a focus on energy markets ... Quant skills and data literacy are a plus but not required; ability to incorporate data into ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... algorithms from scratch. You have an advanced degree in a quantitative field, such as computer ...

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All JobsAlgorithmic Trading Quant JobsRemote Algorithmic Trading Quant JobsRemote Algorithmic Trading Quant Jobs in Secaucus, NJ

Remote Algorithmic Trading Quant information

See Secaucus, NJ salary details

$53.4K

$121.2K

$199.8K

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

As of Jun 17, 2026, the average yearly pay for remote algorithmic trading quant in Secaucus, NJ is $121,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $155,000.00 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.
What are popular job titles related to Remote Algorithmic Trading Quant jobs in Secaucus, NJ? For Remote Algorithmic Trading Quant jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trading Quant jobs in Secaucus, NJ look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Remote Algorithmic Trading Quant jobs? Cities near Secaucus, NJ with the most Remote Algorithmic Trading Quant job openings:
Remote Algorithmic Trading Quant jobs near you
Infographic showing various Remote Algorithmic Trading Quant job openings in Secaucus, NJ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $121,154 per year, or $58.2 per hour.
Software Engineer

Software Engineer

Aquatic Capital Management

New York, NY • On-site, Remote

$220K - $230K/yr

Other

Posted 7 days ago

Job description

Software Engineer

New York

Responsibilities: Build production trading systems and create automated infrastructure to accelerate delivery of new models to live trading; develop and manage high quality, robust and efficient data and model pipelines; build tools to bring models to live trading efficiently and in an automated, reproducible fashion; improve capabilities, performance, reliability, scalability and throughput of trading systems.

Requirements: 

  • Bachelor's degree in Computer Science, Computer Engineering or related field
  • 3 years of related experience
  • Any amount of experience building and maintaining low-latency, high-performance infrastructure and systems responsible for executing trades and ingesting data from 10,000+ sources daily
  • Any amount of experience building framework that runs, tests and deploys quantitative strategies
  • Any amount of experience utilizing graph theory to create interactive data visualization user interfaces for analyzing computational task graphs as directed acyclic graphs
  • Any amount of experience developing time series data classification systems including feature engineering techniques and machine learning algorithms

Must live within normal commuting distance of worksite.  Remote working is permitted on occasion but office attendance is expected. 

Salary range:  $220,000 to $230,000

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