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Graduate Quant Jobs in Seattle, WA (NOW HIRING)

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

A graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience in a relevant role * Advanced proficiency with SQL and ...

Integrate quantitative and qualitative information into product requirements * Define and analyze ... Bachelor's or graduate degree in a technical field (e.g. computer science, engineering) or ...

Integrate quantitative and qualitative information into product requirements * Define and analyze ... Bachelor's or graduate degree in a technical field (e.g. computer science, engineering) or ...

Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. * 7+ years of relevant work experience, including at least 2 years of ...

Showing results 21-40

Graduate Quant information

See Seattle, WA salary details

$111.5K

$193.2K

$295.3K

How much do graduate quant jobs pay per year?

As of Aug 12, 2026, the average yearly pay for graduate quant 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 are the key skills and qualifications needed to thrive as a graduate quant, and why are they important?

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What are some typical challenges faced by graduate quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

What is a graduate quant?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What are popular job titles related to Graduate Quant jobs in Seattle, WA? For Graduate Quant jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Graduate Quant job openings in Seattle, WA as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 19% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $193,156 per year, or $92.9 per hour.

Data Scientist, Level 4

Snap, Inc.

Seattle, WA โ€ข On-site

Full-time

Medical

Re-posted 16 days ago


Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

We're looking for a Data Scientist to join Snap Inc.

What you'll do:

  • 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

  • Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'

  • Collaborate with product managers, engineers, product marketers, and designers

  • Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

Knowledge, Skills and Abilities:

  • Expertise using data modeling skills to identify key product trends and new product opportunities

  • Ability to design implement, and track core metrics to analyze the performance of our products

  • Ability to create visuals, dashboards, and reports to effectively communicate your insights

  • Ability to collaborate with engineers, product managers, and other cross-functional teams

  • Ability to initiate and drive projects to completion with minimal guidance

  • An understanding of Snapchat with great product sense and product understanding

  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices

Minimum Qualifications:

  • Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience

  • 3+ years of post-Bachelor's experience in quantitative analysis and data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Preferred Qualifications:

  • 3+ years of Experience using SQL or similar big data querying languages

  • 3+ years of Experience with programming language, such as Python or R

  • 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques

  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field

  • Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company

  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $157,000-$235,000 annually.


Zone B:

The base salary range for this position is $149,000-$223,000 annually.

Zone C:

The base salary range for this position is $133,000-$200,000 annually.This position is eligible for equity in the form of RSUs.