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Java Quant Developer Jobs in Seattle, WA (NOW HIRING)

Amazon

Applied Scientist II, Amazon Search

Seattle, WA · On-site

... Experience programming in Java, C++, Python or related language - 1+ years of building machine ... D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field ...

Expedia

Machine Learning Scientist III

Seattle, WA · Remote

PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics). * 3+ ... Strong programming skills in at least one major ML language (e.g., Python, Scala, Java ) plus SQL ...

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Java Quant Developer information

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$64

$88

How much do java quant developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for java quant developer in Seattle, WA is $64.52, according to ZipRecruiter salary data. Most workers in this role earn between $55.82 and $72.21 per hour, depending on experience, location, and employer.

How does a Java Quant Developer typically collaborate with quantitative analysts and traders within a financial firm?

As a Java Quant Developer, you will work closely with quantitative analysts (quants) and traders to translate complex mathematical models into robust, efficient code. Collaboration often involves frequent discussions to clarify model specifications, optimize algorithms for speed, and ensure accurate integration with trading platforms. You'll participate in code reviews, daily stand-ups, and sometimes even sit on the trading floor to gain firsthand insights into how your solutions impact trading strategies. This close teamwork helps ensure that models are delivered quickly and perform reliably in real-market conditions.

What are the key skills and qualifications needed to thrive as a Java Quant Developer, and why are they important?

To thrive as a Java Quant Developer, you need strong programming skills in Java, a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or a related field. Familiarity with financial libraries, statistical analysis tools, and experience using version control systems like Git are commonly expected, along with knowledge of databases such as SQL. Exceptional analytical thinking, problem-solving ability, and effective communication skills help you collaborate with traders and other stakeholders. These capabilities ensure the development of robust, efficient trading solutions that meet complex financial requirements and perform reliably in high-stakes environments.

What is a Java Quant Developer?

A Java Quant Developer is a software engineer who specializes in developing quantitative models and trading systems using the Java programming language. They work closely with quantitative analysts (quants) to implement mathematical models that help financial firms make trading decisions, manage risk, and analyze large datasets. Their responsibilities typically include designing, coding, testing, and optimizing high-performance applications for financial markets. A strong background in mathematics, finance, and computer science is usually required, along with expertise in Java and related technologies.
What are popular job titles related to Java Quant Developer jobs in Seattle, WA? For Java Quant Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Java Quant Developer jobs in Seattle, WA look for? The top searched job categories for Java Quant Developer jobs in Seattle, WA are:
Java Quant Developer jobs near you

Software Engineer - Ride and Fleet Services

Zoox

Seattle, WA • On-site

$145K - $219K/yr

Full-time

Re-posted 25 days ago

Job description

Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots!
In this role, you will:
  • Design and build a scalable, efficient, and robust robotaxis dispatch service.
  • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques.
  • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems.
  • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency.
  • Integrate optimization algorithms into the robotaxi platform.
  • Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness.
 
Qualifications
  • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field.
  • Proven experience in algorithm development, with a strong emphasis on operational research methodologies.
  • Proficiency in programming languages Java or Kotlin
  • Solid background in machine learning, AI, operational research, and data analysis.
  • Passion for learning new technologies, domains, and challenging the status quo.
  • Strong mathematics skills.
  • Exceptional problem-solving, analytical, and quantitative skills.
Bonus Qualifications
 
  • Experience with GIS and mapping software.
  • Experience in transportation, logistics, or autonomous vehicles.
  • Experience in building/using fleet simulation tools.
  • Ability to lead through ambiguity and work with diverse stakeholders.
  • Ability to Iterate quickly and efficiently on building end-to-end experiences.
  • Experience handling large data sets and scaling service horizontally to a large number of users.
  • Experience developing cloud services and an understanding of design for scalability, performance and reliability.
  • Knowledge about microservice design patterns and DB access.
  • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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.