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Quant Engineer Jobs in Carnation, WA (NOW HIRING)

Lead Generative AI Data Engineer III

Seattle, WA · On-site

$116K - $153K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

The Senior Research Engineer will be responsible for training Ai2's flagship open models, owning ... related quantitative field (or equivalent experience) • A minimum of 2 years of software ...

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

Degree ina quantitative fieldlike statistics, economics, applied math, operations research or engineering preferred, or related work experience * Knowledge of Microsoft Office, specifically Power ...

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Research Engineer, you will be responsible for training Ai2's flagship open models and ... related quantitative field (or equivalent experience) • A minimum of 2 years of software ...

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 ...

Showing results 21-40

Quant Engineer information

See Carnation, WA salary details

$42.8K

$101.9K

$169.4K

How much do quant engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quant engineer in Carnation, WA is $101,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $112,600.00 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 cities near Carnation, WA are hiring for Quant Engineer jobs?

Cities near Carnation, WA with the most Quant Engineer job openings:

Sr. Research Intelligence Engineer

PitchBook Data

Seattle, WA • On-site

Full-time

Medical, Life, Retirement

Posted 5 days ago


Job description

About the Role:

As a member of the Editorial team, you will spend each day immersed in the private markets, aiming to help our customers be better investors, advisors, and market participants. The work you will do plays a direct role in the evolution of the industry! 

Everyone on our team is supported by a flexible work environment and a culture that promotes curiosity, collaboration, and professional development. We prioritize recognition and respect across all roles and have a high level of camaraderie. The fast-growing nature of our organization provides ample opportunity to advance in your career and explore what interests you. 

As we continue investing in the talent of our group, our coverage has evolved rapidly over multiple industries and geographies. Our insights are routinely cited by top-tier publications and sought after by prominent players in the financial markets. In addition to publishing timely market insights, we also partner closely with our Product, Engineering, and Data Operations teams to continually enhance our datasets and develop unique tools that have a material impact on our customers' workflows. There is no better time to join us! 

As a Senior Research Intelligence Engineer for the Institutional Research Group, you will play a key role contributing to the management of our data products and processes to facilitate the delivery of best-in-class reports, data analytics, newsletters, indexes, and more. Your understanding of research processes, industry knowledge, and technical capabilities will be crucial in supporting the department's goals of delivering timely and insightful information to our audience. This role requires an individual that understands the intricacies of data delivery, how to interpret and communicate complex concepts, and design and implement a data program strategy that is efficient and effective.

Primary Job Responsibilities:

  • Serve as the key point of contact between the Institutional Research Group, Product, and Dev teams to incorporate PIRG-generated methodology into Platform products and ensure it is correctly implemented and maintained across internal processes, Git repositories, and production deployments including rolling out methodology updates as needed.
  • Research, build, and maintain data pipelines for new and existing sources used by PIRG, including non-native data sources. Own the repository of SQL queries/views, query optimization, and ongoing pipeline maintenance.
  • Act as a key stakeholder alongside the Data Operations team to advise on and implement methodology adjustments, updates, and data cleanups.
  • Work with analyst groups to develop and deploy applications for prototyping, internal use, and production use cases.
  • Identify and implement initiatives to streamline data analyses and research processes and improve the delivery of data to analysts.
  • Maintain clear and timely communication with all affected stakeholders regarding methodologies, methodology changes, project progress, and potential roadblocks.
  • Serve as a resource for more junior engineers in conjunction with the team lead.
  • Support the vision and values of the company through role modeling and encouraging desired behaviors 
  • Participate in various company initiatives and projects as requested 

Basic Qualifications:

  • 7+ years of experience in data engineering, data analysis, or data-driven research
  • Demonstrated proficiency in SQL and Python required
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Preferred Qualifications:

  • Demonstrated proficiency in software development and deployment techniques, including AI-enabled coding tools
  • Demonstrated experience working cross-functionally with technical teams to deploy complex tools and methodologies to production
  • Strong understanding of financial concepts such as valuation techniques, startup cap tables, internal rate of return, and portfolio management
  • Strong interest in M&A and private financial markets
  • Bachelor's degree in a quantitative or technical field - Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or quantitative Finance/Economics - preferred
  • Strong written and verbal communication skills with the ability to explain complex methodologies to technical and non-technical audiences
  • Critical thinker with a detail-oriented and analytical mindset
  • Proficiency with the Microsoft Office suite and the ability to quickly learn new systems and software

Benefits + Compensation at PitchBook:

Physical Health            

  • Comprehensive health benefits
  • Additional medical wellness incentives 
  • STD, LTD, AD&D, and life insurance

Emotional Health 

  • Paid sabbatical program after four years
  • Paid family and paternity leave 
  • Annual educational stipend
  • Ability to apply for tuition reimbursement
  • CFA exam stipend 
  • Robust training programs on industry and soft skills 
  • Employee assistance program
  • Generous allotment of vacation days, sick days, and volunteer days

Social Health 

  • Matching gifts program
  • Employee resource groups
  • Subsidized emergency childcare  
  • Dependent Care FSA
  • Company-wide events
  • Employee referral bonus program  
  • Quarterly team building events

Financial Health 

  • 401k match
  • Shared ownership employee stock program 
  • Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

  • Annual base salary: $145,000-$185,000
  • Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

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