ZipRecruiter

Log In

2

Remote Algorithmic Trading Quant Jobs (NOW HIRING)

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.

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 ...

G-20 Group

Equity Options Trader

New York, NY · On-site +1

... trading opportunities. * Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of corporate ...

G-20 Group

Index Options Trader

New York, NY · On-site +1

... on trading opportunities. * Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of ...

Databento

Software Engineer (C++/Rust)

Chicago, IL · On-site +1

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Databento

Software Engineer (C++/Rust)

Boston, MA · On-site +1

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Databento

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Databento

Software Engineer (C++/Java)

Seattle, WA · On-site +1

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

WallStreetQuants

Head of Content and Audience Growth

$100K - $150K/yr

We train candidates for roles in quant trading, quant research, quant development, and other elite ... Remote work flexibility * High-ownership role with direct impact on company growth * Opportunity to ...

Databento

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Databento

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

Databento

Software Engineer (C++/C#)

San Francisco, CA · On-site +1

Good communication skills and work ethic for a remote workplace. * An interest in low-level ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

previous pagenext page

Showing results 21-40

All Jobsremote JobsFinance and Insurance JobsBank JobsInvestment Banker JobsRemote Algorithmic Trading Quant Jobs

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 27, 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 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.

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 August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quant Researcher

New York, NY • On-site, Remote

Injective Labs
Internet and IT • 11 - 50 employees
Learn more about Injective Labsexternal

Full-time

Medical, PTO

Re-posted 6 days ago

Job description

About Injective Labs
Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry.
Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective's infrastructure and specialized DeFi primitives such as the world's first fully on-chain order book.
Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban.
About the role
We are looking for a Quantitative Researcher to fit into our existing highly-skilled NY-based quantitative team. You will report directly to the Quant Team Lead and work closely with the broader Quant team. As a part of our Quant team, you'll be studying the crypto market to find profitable trading opportunities and build automated trading strategies. The ideal candidate would be someone who has experience working with low-latency execution engines, handling real-time market data, and producing strategies that react immediately to market changes. If this sounds like you and you enjoy working in fast-paced environments, this role is for you!
Responsibilities:
  • Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.
  • Apply statistical and machine-learning techniques to generate, validate, and improve trading signals.
  • Design and implement market-making, arbitrage, and systematic strategies end-to-end.
  • Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling.
  • Develop robust backtesting frameworks; conduct performance analysis and attribution.
  • Implement trading system components, including order management and exchange connectivity.
  • Build and operate data pipelines and research platforms for high-quality, reproducible research.
  • Ensure system reliability, scalability, and latency/performance optimization in production.
  • Implement risk monitoring and control systems across strategies and venues.
  • Run post-trade analytics to evaluate execution quality, slippage, and market impact.
  • Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight.
  • Run simulations and estimate market impact for both liquid and illiquid assets.

Who you are:
  • M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
  • 3-5 years of quantitative research/analysis or development experience.
  • Experience in HFT development.
  • Strong foundation in probability, statistics, time-series modeling, and quantitative methods.
  • Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components.
  • Solid grasp of data structures, algorithms, software engineering principles, and version control.
  • Experience with statistical analysis, backtesting methodologies, and strategy development.
  • Ability to create and use algorithms to investigate large datasets and resolve data/logic errors with rigor.
  • Understanding of financial markets, trading concepts, and risk-management principles.
  • Ideally based in New York or willing to relocate.

Preferred:
  • Experience with machine-learning frameworks and distributed/parallel computing.
  • Familiarity with Linux development environments and modern DevOps practices.
  • Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics.
  • Experience with real-time trading systems, low-latency applications, and exchange integrations.
  • Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies.
  • Professional certifications (e.g., CFA, FRM), prior experience in quantitative trading/fintech, and/or publications in relevant fields.

Why work with us?
  • Competitive salary and INJ token award.
  • Unlimited PTO.
  • Health Insurance.
  • Equipment.
  • Home Office Stipend.
  • Flexible working hours.
  • Opportunity to work on cutting-edge blockchain technology in the finance industry.
  • Collaborative team culture with opportunities for professional growth and development.
  • Global team meet ups.

As an equal opportunity employer we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
We will only contact candidates using emails from the @injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Apply