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Remote Algorithmic Trading Quant Jobs in Ridgewood, NJ

Injective Labs

Quant Researcher

New York, NY · On-site +1

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Solid grasp of data structures, algorithms, software engineering principles, and version control.

MLabs

Quant / Trading Engineer

Manhattan, NY · Remote

$180K - $250K/yr

Competitive salary and equity packages Remote-First Culture: High-autonomy environment designed for ... Opportunity to solve complex problems at the intersection of quantitative finance and blockchain ...

Tradeweb Markets

Senior Pricing Quant

New York, NY · On-site +1

... research, algorithmic pricing, or ML-based financial modeling in a trading, fintech, or market ... related quantitative field * Multilingual skills a plus Additional Information Tradeweb is ...

Tradeweb Markets

Senior Pricing Quant

New York, NY · On-site +1

... research, algorithmic pricing, or ML-based financial modeling in a trading, fintech, or market ... related quantitative field * Multilingual skills a plus Additional Information Tradeweb is ...

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 ...

Mercor

Fixed Income Trading Specialist

New York, NY · Remote

$150 - $180/hr

Remote Role Responsibilities * Evaluate and improve AI-generated outputs related to bond pricing ... Experience with quant tools ( Python , Excel modeling ). * Familiarity with Bloomberg , MarketAxess ...

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Remote Algorithmic Trading Quant information

See Ridgewood, NJ salary details

$53.1K

$120.6K

$198.8K

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 Ridgewood, NJ is $120,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $154,300.00 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.

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What job categories do people searching Remote Algorithmic Trading Quant jobs in Ridgewood, NJ look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Remote Algorithmic Trading Quant jobs? Cities near Ridgewood, NJ with the most Remote Algorithmic Trading Quant job openings:
Remote Algorithmic Trading Quant jobs near you

Remote Quantitative Developer Fixed Income & Trading Systems

Alpha Analitica

Manhattan, NY • Remote

Full-time

Posted 13 days ago

Job description

A financial analytics firm is seeking a remote Quantitative Developer to enhance trading systems and risk management tools. This role involves programming in Quantlib and Python, along with implementing quantitative models for fixed income markets. The ideal candidate will work closely with traders and quantitative researchers, translating models into production code.

Strong knowledge of financial instruments and automated trading platforms is crucial, alongside experience with libraries like NumPy and Pandas. #J-18808-Ljbffr

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