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Quant Engineer Jobs in Phoenix, AZ (NOW HIRING)

EQL Tech

Founding GTM Engineer

Phoenix, AZ · On-site

$120K - $170K/yr

A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19. * Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra ...

EQL Tech

Founding GTM Engineer

Phoenix, AZ · On-site

$120K - $170K/yr

A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19. * Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra ...

InterSources Inc

Infrastructure Engineer

Phoenix, AZ · On-site

$106K - $140K/yr

The Infrastructure Engineer will be part of the TIMS Automation team, responsible for delivering ... quantitative skills Company : InterSources Inc. solves operational problems where protection ...

Oscar

Senior Software Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

S. in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field. Preferred / Bonus Qualifications * Experience or background in CAD engines, CAE/CFD software ...

New

Oscar Technology

Senior Software Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

S. in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field. Preferred / Bonus Qualifications * Experience or background in CAD engines, CAE/CFD software ...

pcg

Project Engineer

Tempe, AZ

Performance Contracting is seeking an experienced Project Engineer for its Masthead International ... Quantitative takeoffs to verify estimates, order materials, and price change orders * Create and ...

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All JobsQuant Engineer JobsQuant Engineer Jobs in Phoenix, AZ

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 Sep 14, 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.

What are popular job titles related to Quant Engineer jobs in Phoenix, AZ?

For Quant Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Quant Engineer jobs in Phoenix, AZ are:

Quant Engineer jobs near you
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.

Specialist, Electrical Engineer (Transformation)

Phoenix, AZ • On-site

Acron Aviation
See more jobs at Acron Aviationexternal

Full-time

Re-posted 19 days ago

Job description

About Acron Aviation (Avionics – Surveillance):
Acron Aviation designs, engineers, and manufactures certified avionics systems that support safety-critical flight operations across commercial and military aviation. Within Avionics, the Surveillance product line develops and sustains systems that enable aircraft awareness, collision avoidance, and airspace interoperability. Our portfolio includes TCAS, Mode S transponders, ADS-B, and integrated surveillance solutions deployed across commercial, military, and rotorcraft platforms. This work is performed in highly regulated environments and demands deep expertise across systems, hardware, software, and RF throughout the full product lifecycle.

Position Summary
As a Specialist Electrical Engineer within our Surveillance product line, you will drive innovation in the development of TCAS and transponder radios, advancing the electrical engineering discipline through concept generation, design, analysis, qualification, and lifecycle management.

You will apply rigorous data-driven analysis and modern AI-assisted engineering tools to accelerate design exploration, optimize hardware performance, and strengthen verification of avionics hardware. This role works within multidisciplinary project teams including mechanical, electrical (digital and analog), RF, firmware, and software engineering to plan, design, prototype, document, and test avionics transponders, RF systems, and sensor-based products.

Design activities will support surveillance avionics solutions for Air Transport, General Aviation, helicopters, and emerging platforms including Urban Air Mobility (UAM) and eVTOL aircraft.
Key Responsibilities
  • Conceptualize, design, integrate, and qualify digital, analog, and power circuitry, with supplemental RF principles, for avionics applications
  • Design circuits utilizing microprocessors, memory devices, Ethernet, SPI, I2C, PCIe, and other avionics interfaces
  • Develop and review electrical schematics and support PCB layout activities
  • Support CAD layout reviews, preferably using Altium-based tools
  • Generate engineering documentation including HRDs, HDDs, and HCIAs
  • Provide technical inputs supporting certification documentation, including PHAC development
  • Perform electrical design activities ranging from individual circuit design through aircraft-level system architectures
  • Utilize electrical analysis tools for power distribution, stress analysis, and related simulations
  • Apply AI and machine-learning tools to accelerate circuit design, automate analysis, and improve design verification and defect detection
  • Evaluate and adopt emerging engineering tools, methods, and technologies that advance avionics hardware development
  • Conduct trade studies and quantitative engineering analysis to optimize performance, cost, reliability, and manufacturability
  • Support proposal efforts by estimating engineering tasks, identifying technical risks, and planning development activities
  • Collaborate effectively across multiple engineering disciplines and technical teams
  • Interface directly with customers to understand requirements and develop practical engineering solutions
  • Perform other duties as assigned
  • Travel up to 10%
Basic Qualifications:
  • Bachelor’s Degree in Electrical Engineering or Computer Engineering and a minimum of 5 years of relevant experience; or Graduate Degree and a minimum of 4 years of related experience
  • Minimum 2 years of experience with electrical hardware design; aerospace experience preferred
  • Hands-on experience designing and developing avionics products, RF systems, or sensor-based products
  • Demonstrated experience applying engineering analysis and modern software or AI-enabled tools to solve hardware design challenges
Preferred Qualifications:
  • Working knowledge of at least one programming language such as Python or C++
  • Experience developing integrated aerospace hardware and software products
  • Exposure to Model-Based Systems Engineering (MBSE)
  • Experience applying AI or machine learning tools to hardware design, analysis, test automation, or engineering productivity initiatives
  • Proficiency with data analysis and scripting tools, including Python, to automate workflows and support engineering decisions
  • Understanding of FPGA and firmware development requirements and their impact on hardware design
  • Experience with RTOS integration and associated hardware design considerations
  • Practical understanding of RF design principles, particularly within the L-band frequency range
  • Strong interpersonal skills with experience working within multidisciplinary engineering teams
  • Excellent written, verbal, and presentation communication skills
  • Knowledge of DO-160, DO-178, and DO-254
  • Experience with Design-to-Cost and Design-for-Manufacturability methodologies
  • Experience supporting production and test activities across geographically distributed teams
  • Demonstrated ability to manage multiple programs and responsibilities simultaneously
  • Ability to operate independently and determine appropriate paths forward with minimal oversight
  • Pilot License or Part 107 Certificate
Equal Opportunity Statement
Acron Aviation is proud to be an Affirmative Action and Equal Opportunity Employer. We are committed to treating all employees and applicants with respect and dignity and to maintaining a workplace free from unlawful discrimination. All applicants will be considered for employment regardless of race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding, or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or any other legally protected characteristic.

Additional Information:
Acron Aviation maintains a drug-free workplace and conducts pre-employment substance abuse testing and background checks, where allowed by law. Acron Aviation is an E-Verify employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.