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Quant Developer Jobs in Seattle, WA (NOW HIRING)

Socket.dev

Staff Data Scientist, Product

Kirkland, WA · On-site

$192 - $278/hr

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 10 years of work experience using analytics to solve product or ...

New

TekWissen LLC

Data Engineer III

Redmond, WA · On-site

$83/hr

Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science * Experience in aerospace, manufacturing, test processes and/or test systems ...

Geico

Staff Engineer

Seattle, WA

Experience solving analytical problems with quantitative approaches * Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment ...

GEICO

Staff Engineer

Seattle, WA · On-site

Experience solving analytical problems with quantitative approaches * Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment ...

Google

Staff Data Scientist, Product

Kirkland, WA · On-site

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 10 years of work experience using analytics to solve product or ...

Meta

UX Researcher, Quantitative

Seattle, WA

$164K/yr

We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys ... Work cross-functionally with design, product management, content strategy, engineering and ...

Meta

UX Researcher, Quantitative

Bellevue, WA

$164K/yr

We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys ... Work cross-functionally with design, product management, content strategy, engineering and ...

Snap, Inc.

Senior Data Scientist, Level 5

Seattle, WA · On-site

... engineering or related field or equivalent years of practical work experience * 5+ years of post-Bachelor's quantitative analysis and data science experience ; or a Master's degree in a technical ...

Snapchat

Senior Data Scientist, Level 5

Seattle, WA · On-site

... engineering or related field or equivalent years of practical work experience * 5+ years of post-Bachelor's quantitative analysis and data science experience ; or a Master's degree in a technical ...

Zoox

Product Security Engineer - QRA

Seattle, WA · On-site

$191K - $271K/yr

Perform Quantitative Risk Assessment by quantifying security related safety risks, collaborating ... Interface with a multitude of engineering teams within Product Security as well as across software ...

Zoox

Product Security Engineer - QRA

Seattle, WA · On-site

$191K - $271K/yr

Perform Quantitative Risk Assessment by quantifying security related safety risks, collaborating ... Interface with a multitude of engineering teams within Product Security as well as across software ...

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Showing results 21-40

All JobsQuant Developer JobsQuant Developer Jobs in Seattle, WA

Quant Developer information

See Seattle, WA salary details

$111.5K

$193.2K

$295.3K

How much do quant developer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for quant developer in Seattle, WA is $193,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $153,100.00 and $226,500.00 per year, depending on experience, location, and employer.

What is a quant developer?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

What are the key skills and qualifications needed to thrive as a quant developer?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

Is a quant developer a good career?

A quant developer is a highly specialized role that involves developing algorithms and models for financial trading and risk management. It typically requires strong programming skills in languages like Python or C++ and a background in mathematics or finance. The role offers high earning potential and demand in financial firms but often involves long hours and high pressure.

What does a quant developer do?

A quant developer designs and implements complex mathematical models and algorithms used for trading, risk management, and investment strategies in financial firms. They typically work with programming languages like Python, C++, or Java and collaborate closely with traders and analysts to develop automated systems. Strong quantitative skills, programming expertise, and knowledge of financial markets are essential for this role.

What are the most commonly searched types of Quant Developer jobs in Seattle, WA?

The most popular types of Quant Developer jobs in Seattle, WA are:

What are popular job titles related to Quant Developer jobs in Seattle, WA?

For Quant Developer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Quant Developer jobs in Seattle, WA look for?

The top searched job categories for Quant Developer jobs in Seattle, WA are:

Quant Developer jobs near you
Infographic showing various Quant Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $193,156 per year, or $92.9 per hour.

Staff Data Scientist, Product

Socket.dev

Kirkland, WA • On-site

$192 - $278/hr

Other

Posted 3 days ago

New

Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience plus a Master's degree).
Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
About the job:

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
  • Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
  • Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.
  • Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
  • Directly or indirectly oversee the contributions of others and develop colleagues’ capabilities in the area of specialization.
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