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Algorithmic Trading Developer Jobs (NOW HIRING)

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

Software Developer (Chicago)

Chicago, IL · On-site

$150K - $250K/yr

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

Senior DevOps Engineer - Trading & Supply

Houston, TX · On-site

$124K - $159K/yr

... algorithmic trading technology in a compliant and flexible way • Being part of the on-call rota working as part of a global team development engineers Qualifications : Required : • You must be a ...

Software Developer (Chicago)

Chicago, IL · On-site

$150K - $250K/yr

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

Designing and implementing high-quality software solutions used for algorithmic trading, exchange ... Programming skills and understanding of general programming concepts such as OOP and data ...

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

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Algorithmic Trading Developer information

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$60

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How much do algorithmic trading developer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for algorithmic trading developer in the United States is $60.02, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $71.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithmic Trading Developer, and why are they important?

To thrive as an Algorithmic Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or related fields. Expertise in trading platforms, financial data APIs, and familiarity with machine learning libraries and version control systems is common, alongside relevant certifications like CFA or CQF. Exceptional analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for success in this role. These capabilities enable developers to design, test, and optimize trading algorithms that perform reliably and profitably in dynamic financial markets.

What is the difference between Algorithmic Trading Developer vs Quantitative Analyst?

AspectAlgorithmic Trading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skillsDegree in Mathematics, Statistics, Finance, or Economics; strong analytical skills
Work EnvironmentDevelops trading algorithms, codes, tests, and implements trading systemsBuilds models, analyzes data, and provides trading insights
Employer & Industry UsageFinancial firms, hedge funds, trading firms focusing on system developmentInvestment banks, hedge funds, asset managers focusing on data analysis

While both roles work within the finance industry and require quantitative skills, Algorithmic Trading Developers primarily focus on coding and implementing trading algorithms, whereas Quantitative Analysts analyze data and develop models to inform trading strategies.

What is an Algorithmic Trading Developer?

An Algorithmic Trading Developer is a software professional who designs, builds, and maintains computer programs (algorithms) that automatically execute trades in financial markets. These developers combine knowledge of programming, quantitative analysis, and financial markets to create strategies that can analyze market data and place trades faster and more efficiently than human traders. Their work often involves working with large datasets, optimizing code for speed, and ensuring low-latency execution. They may also collaborate with traders and quantitative analysts to implement and test new trading ideas.

What are some common challenges Algorithmic Trading Developers face when deploying new trading strategies?

Algorithmic Trading Developers often encounter challenges such as ensuring low-latency execution, accurately backtesting strategies with real-world data, and managing the risks of live trading. Deployment requires close collaboration with quantitative analysts, traders, and IT teams to validate models and maintain robust infrastructure. Additionally, developers must monitor for unexpected market conditions and quickly address any system failures or regulatory changes that could impact trading performance.
More about Algorithmic Trading Developer jobs
What cities are hiring for Algorithmic Trading Developer jobs? Cities with the most Algorithmic Trading Developer job openings:
What states have the most Algorithmic Trading Developer jobs? States with the most job openings for Algorithmic Trading Developer jobs include:
What job categories do people searching Algorithmic Trading Developer jobs look for? The top searched job categories for Algorithmic Trading Developer jobs are:
Infographic showing various Algorithmic Trading Developer job openings in the United States as of July 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,843 per year, or $60 per hour.
Site Reliability Engineer - Algorithmic Trading

Site Reliability Engineer - Algorithmic Trading

DRW

Chicago, IL • On-site

$58.75 - $78/hr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
DRW is a diversified trading firm that combines sophisticated technology with exceptional talent to operate in global markets. The Site Reliability Engineer will be responsible for ensuring the smooth operation of production trading systems and enhancing automation to support trading, testing, and research environments.
Responsibilities:
• Work with software engineers and traders to provide 24/7 first line support of our trading, testing, and research environment.
• Proactively monitor and identify issues before they impact trading. Define and automate observability around application SLAs and build anomaly detectors that surface problems early.
• Oversee and maintain our test trading environment. Keep the environment running smoothly and pursue automation of routine interventions required to maintain a stable test platform for development.
• Standardize CI/CD and operational processes across development teams to reduce friction and speed up delivery. Improve deployment scripts and release verification processes.
• Perform stress tests and verify SLAs under load. Work with application and devops engineers to design and improve support for this type of testing.
• Work closely with traders, engineers, system administrators, data centers, networking, and other shared services.
Qualifications:
Required:
• Bachelor's degree in computer science or equivalent practical background.
• 3-10+ years of hands-on software development or SRE Experience
• Demonstrated experience with observability tools – logging, metrics and tracing
• Hands on development experience in scripting languages like Bash, Python, or Ruby
• An automation-first approach to problem solving – you understand that manual processes don’t scale, and your instinct is to eliminate them before they become a bottleneck.
• Demonstrated knowledge of network communications including comprehensive understanding of the Linux TCP-IP stack, use of multicast networking, and network protocol interactions.
• Solid diagnostic capabilities from the application layer through the network and low-level hardware.
• Experience with network capture and time synchronization.
• High level of ownership and accountability, reliability, and strong follow through.
• Positive AI mentality and experience with AI agents to accelerate SRE tasks.
Company:
DRW is a diversified trading firm that combines technology, research, and risk management to capture trading and investment opportunities. Founded in 1992, the company is headquartered in Chicago, USA, with a team of 1001-5000 employees. The company is currently Late Stage.