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Quant Analytics Jobs in Seattle, WA (NOW HIRING)

Coupang Internal

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Coupang

Senior Data Analyst

Seattle, WA

$114K - $196K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Meta

Data Scientist, Product Analytics

Redmond, WA

$147K/yr

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of ...

Meta

Data Scientist, Product Analytics

Seattle, WA

$147K/yr

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of ...

Meta

Data Scientist, Product Analytics

Bellevue, WA

$147K/yr

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of ...

Snapchat

Senior Data Scientist, Level 5

Seattle, WA

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

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Showing results 21-40

All JobsQuant Analytics JobsQuant Analytics Jobs in Seattle, WA

Quant Analytics information

See Seattle, WA salary details

$59.7K

$135.6K

$223.6K

How much do quant analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for quant analytics in Seattle, WA is $135,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $173,500.00 per year, depending on experience, location, and employer.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

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

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What is a quant analytics professional?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

What does a quant analytics do?

A quant analyst, or quantitative analyst, develops mathematical models and uses statistical techniques to analyze financial data and inform investment decisions. They often work with programming languages like Python or R and tools such as Excel or specialized software to identify trends, assess risks, and optimize trading strategies.

How do quant analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
Quant Analytics jobs near you
Infographic showing various Quant Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $135,613 per year, or $65.2 per hour.

Quantitative Analysis Data Science Support

Think Tank, Inc.

Seattle, WA

Full-time

Re-posted 4 days ago

Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Analyze spatial and temporal variability in abundance and composition of fish, their prey, competitors, predators, and habitats.
  • Analyze and generate relationships between fish responses (e.g., density, biomass, growth, survival) and stressors (environmental/ecological conditions, habitat metrics, management actions) in particular life stages.
  • Contribute statistical and spatial analysis expertise to construction and implementation of fish life cycle (stock assessment) models and simulations evaluating cumulative effects across life cycles - with emphasis on ecological interactions (predators, prey) and expanding model complexity in estuary and nearshore domains.
  • Share comprehensive workflow protocols and research products.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.

EDUCATION & EXPERIENCE:

Required:

  • Education: Doctorate from an accredited college/university with an emphasis in a field related to the task order, including geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics.
  • Experience: Five (5) or more years of relevant experience, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.

Desired:

  • Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience.

CERTIFICATIONS:

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • Reproducible workflows documented; computer scripts and methods shared in an open-source framework such as GitHub.
  • Analysis products stored in an accessible, organized way; data and models shared via collaborative scientific platforms and public research repositories.
  • Written status reports and other ad hoc communications as needed.

SKILLS:

Required:

  • Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, Python, GitHub and GIS, and with open-science concepts.
  • Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
  • Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.

Apply