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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

Anson McCade

Index Trader

Chicago, IL · On-site +1

... trading strategies using quantitative research and machine learning techniques • Build and refine algorithmic trading models from ideation through production deployment • Analyze market ...

Turing

Remote Finance Expert

Seattle, WA · On-site +1

$100/hr

Requirements2+ years experience in Capital Markets, Portfolio Management, Research, Trading, Quant ... Fully remote and flexible work environment.Competitive hourly compensation of ~$100+/hour depending ...

Turing

Remote Finance Expert

San Francisco, CA · On-site +1

$100/hr

Requirements2+ years experience in Capital Markets, Portfolio Management, Research, Trading, Quant ... Fully remote and flexible work environment.Competitive hourly compensation of ~$100+/hour depending ...

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

... Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio Capital Location: New ... Interest in financial markets , trading, and algorithmic strategy development. About the Career ...

WallStreetQuants

Creative Strategist

$100/hr

... the algorithm is rewarding this week Requirements What we're looking for * A portfolio that shows ... Background or genuine interest in markets, trading, quant finance, or technical subjects - you do ...

Crypto.com

Quant Trader (VP)

Charleston, WV · Remote

... algorithmic performance * Partner closely with trading developers to enhance pricing models ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Old Mission

Systematic Equity Options Trader

Chicago, IL · On-site +1

$170K - $250K/yr

Collaborate with quantitative researchers to translate research insights into production trading ... Must have a strong understanding of the market microstructure and execution algorithms * Excellent ...

hackajob

Finance Expert

Manhattan, NY · Remote

$60 - $75/hr

... trading, quant, accounting, and others. If you enjoy solving complex problems in finance and are ... Fully remote and asynchronous - flexible working hours with 4 hours of overlap with PST.

Crypto.com

Quant Trader (VP)

$300K - $450K/yr

... trading strategies and algorithmic performance > * Partner closely with trading developers to ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

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.

G-20 Group

Junior-Mid Level Options Trader

Chicago, IL · On-site +1

About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets ... and improve trading algorithms and strategies. * Stay up-to-date on market trends, news, and ...

Turing

Remote Finance Analyst

San Francisco, CA · On-site +1

$100 - $200/hr

... trading, quant, investment banking, private equity, corporate finance, accounting, and others. If ... Fully remote and flexible work environment. * Competitive hourly compensation of ~$100+/hour ...

New

Nick AI

Backend 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 ...

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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:
Remote Algorithmic Trading Quant jobs near you
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.

Index Trader

Anson McCade

Chicago, IL • On-site, Remote

Full-time

Posted 5 days ago

Job description

$200,000 USD
Discretionary Bonus
Onsite WORKING
Location: Chicago, Illinois - United States Type: Permanent
Our client is a proprietary trading firm specializing in electronic options market making. They take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Their team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. They emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
They operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.
What you'll do:
• Proactively manage pricing and positions for the SPX Index options market making desk
• Design and optimize systematic options trading strategies using quantitative research and machine learning techniques
• Build and refine algorithmic trading models from ideation through production deployment
• Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
• Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
• Manage real-time risk across a diversified portfolio of options positions
Qualifications and skills:
• Previous experience trading (3+ years) with a proven track record of success managing an index options market making book
• BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
• Exceptional attention to detail
• Excellent quantitative and analytical skills
• Ability to take on many responsibilities quickly with a high degree of operational excellence
Python programming skills are a plus, but not required

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