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Quant Engineer Jobs in Phoenix, AZ (NOW HIRING)

... problem-solving/quantitative skillsWilling to take risks, experiment, and share fresh ... programming concepts.Ability to effectively communicate with internal and external business ...

AI Engineer

Phoenix, AZ

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI - a researcher with ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI -- a researcher with ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI - a researcher with ...

Infrastructure Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... Infrastructure Engineer As Infrastructure Engineer, you will own every dollar that moves through ...

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... Infrastructure Engineer As Infrastructure Engineer, you will own every dollar that moves through ...

Strong analytical, problem-solving/quantitative skills * Willing to take risks, experiment, and share fresh perspectives * Aptitude for learning and applying programming concepts. * Ability to ...

Showing results 21-40

Quant Engineer information

See Phoenix, AZ salary details

$37.7K

$89.9K

$149.4K

How much do quant engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quant engineer in Phoenix, AZ is $89,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $99,300.00 per year, depending on experience, location, and employer.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

Infographic showing various Quant Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,896 per year, or $43.2 per hour.

Golang Developer

OmegaHires

Phoenix, AZ • On-site

Contractor

Re-posted 16 days ago


Job description

Golang Developer
Job Description:
The position requires a Bachelor's degree in Computer Science, Engineering, or a related field, followed by 4+ years of experience in a modern development stack, including Golang, Kafka, and REST API.Experience designing and developing REST APIs for high-volume clients.Experience with continuous integration tools (Jenkins, Gitlab CI).Experience with automated build and test frameworks is a plus.A proven hunger to learn new technologies and translate them into working software.Experience with container and container orchestration technologies, such as Docker and Kubernetes.Experience with Atlassian software development and collaboration tools (JIRA, Confluence, etc.).Strong ability to develop unique, outside-the-box ideasStrong analytical, problem-solving/quantitative skillsWilling to take risks, experiment, and share fresh perspectivesAptitude for learning and applying programming concepts.Ability to effectively communicate with internal and external business partners. Preferred Additional:Knowledge of the payments industryExperience with coding skills across a variety of distributed technologiesExperience with open-source frameworks is a plus, especially maintaining or contributing to open-source projects!Experience with a broad range of software languages and payments technologies.