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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

Senior Software Engineer - Trading

New York, NY · On-site +1

$134K - $176K/yr

You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading). Requirements: * Strong, experienced ...

Senior Software Engineer - Core Trading

New York, NY · On-site +1

$134K - $176K/yr

You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading). Who You Are (Must-Haves): * Strong ...

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Experience with programmatic statistical analysis and quantitative / analytic skills * High level ...

Engineering Lead- Options

New York, NY · Remote

$104K - $138K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Create algorithmic trading tools to automate and improve trade execution processes. * Use ... Proven track record in quantitative trading and client execution within crypto or similar financial ...

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

... 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 ...

... 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 ...

$94K - $124K/yr

... algorithmic trading, quantitative trading, OMS, EMS, or other financial transaction systems is ... Monthly remote work stipend. * Fully remote and globally distributed work environment.

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 ...

Quant Trader (VP)

$300K - $450K/yr

... 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 ...

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 ...

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

Quant Researcher, OEX

$100K - $230K/yr

You will be contributing to the building of a fast-growth trading platform with innovative, multi ... Design optimal automated liquidation logic and algorithms to balance market risk with market impact ...

You will be contributing to the building of a fast-growth trading platform with innovative, multi ... Design optimal automated liquidation logic and algorithms to balance market risk with market impact ...

Our team brings former experience at the world's leading quantitative firms, including Two Sigma ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

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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 25, 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, 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.
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Senior Software Engineer - Trading

Senior Software Engineer - Trading

Alpaca

New York, NY • On-site, Remote

$134K - $176K/yr

Full-time

Posted 29 days ago


Job description

Who We Are:

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role:

Your job is to build Alpaca's algo trading platform to meet our users' expectations for high quality and performance in their brokerage service. This opportunity is similar to joining AWS or Heroku in their early days, designing and architecting our platform by wearing many different hats in our small team. As an experienced engineer, you will write tons of code and make critical decisions about delivering the best experience to our customers. This certainly requires deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modelling with long-term growth in mind. Joining an early-stage startup, the payoff to this highly demanding environment will be worth the effort.

You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading).

Requirements:

  • Strong, experienced software engineer with lead experience is preferred
  • Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python
  • Low latency and high throughput optimization
  • Experience with messaging queues and message brokers
  • Analytical data-oriented mindset and skills
  • Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
  • System design skills with object-oriented data modeling, service-oriented architectures, system abstraction
  • Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)

Nice to have:

  • Algo trading experience (either professional or personal)
  • FIX protocol knowledge
  • Experience with observability, tracing, continuous profiling and benchmarking
How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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