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Phd Finance Jobs in Bothell, WA (NOW HIRING)

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M&A Associate - AI Trainer

Seattle, WA · Remote

$50 - $100/hr

A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance ...

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Treasury Analyst - AI Trainer

Seattle, WA · Remote

$50 - $100/hr

A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance ...

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Treasury Analyst - AI Trainer

Renton, WA · Remote

$50 - $100/hr

A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance ...

DataAnnotation

M&A Associate - AI Trainer

Renton, WA · Remote

$50 - $100/hr

A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance ...

DataAnnotation

M&A Associate - AI Trainer

Bellevue, WA · Remote

$50 - $100/hr

A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance ...

DataAnnotation

M&A Associate - AI Trainer

Everett, WA · Remote

$50 - $100/hr

A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance ...

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Phd Finance information

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How much do phd finance jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for phd finance in Bothell, WA is $22.80, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $25.53 per hour, depending on experience, location, and employer.

What is a PhD in Finance?

A PhD in Finance is a doctoral degree program that focuses on advanced study and research in financial theory, economics, quantitative analysis, and related fields. Students in this program typically engage in original research, culminating in a dissertation that contributes new knowledge to the field of finance. Graduates often pursue careers in academia, research institutions, or high-level analytical roles in the finance industry. The program typically takes 4-6 years to complete and requires a strong foundation in mathematics, statistics, and economic theory.

What are some typical career paths for someone with a PhD in Finance within academia and industry?

With a PhD in Finance, you can pursue various career paths depending on your interests. In academia, many graduates become professors, conducting research and teaching at universities. In industry, common roles include quantitative analyst, risk manager, or research economist at financial institutions, consulting firms, or government agencies. Advancement often involves building a strong publication record or developing expertise in specialized areas such as asset pricing or corporate finance. Networking and ongoing research are crucial for career growth in both sectors.

What are the key skills and qualifications needed to thrive as a PhD in Finance, and why are they important?

To thrive as a PhD in Finance, you need advanced quantitative analysis, strong research capabilities, and a deep understanding of financial theory, usually demonstrated by earning a doctoral degree in finance or a related field. Proficiency with statistical software (such as Stata, R, or MATLAB), econometric methods, and access to financial databases is essential. Exceptional analytical thinking, problem-solving, and strong written and verbal communication skills help you stand out in publishing research or teaching. These skills and qualifications are vital for generating impactful research, informing financial policy, and contributing to academic or industry advancements.

What is the difference between Phd Finance vs Financial Analyst?

AspectPhd FinanceFinancial Analyst
Required CredentialsPhD in Finance or related fieldBachelor's or Master's in Finance, Economics, or related field
Work EnvironmentAcademic, research institutions, or advanced industry rolesCorporate finance departments, investment firms, banks
Employer & Industry UsageUniversities, research centers, some financial firmsFinancial services, investment banking, corporate finance

While a Phd in Finance focuses on research, teaching, and advanced analysis, a Financial Analyst applies financial data to support business decisions in corporate or investment settings. Both roles require strong analytical skills, but the Phd is more research-oriented, whereas the Financial Analyst is more application-focused.

How much does a PhD in finance make?

A PhD in finance typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience. Academic positions may start lower but can increase with tenure, while industry roles in finance or consulting often offer higher salaries and bonuses.

Is it worth getting a PhD in finance?

A PhD in finance prepares individuals for academic, research, or high-level analytical roles in finance, often requiring strong quantitative skills and familiarity with tools like statistical software. While it can lead to careers in academia or research institutions, it typically involves several years of study and may not be necessary for most industry positions, which often value experience and professional certifications like CFA. The decision depends on career goals and interest in research or teaching roles.

What do finance PhDs do?

Finance PhDs typically conduct research in areas such as asset pricing, risk management, and financial modeling, often working in academia, research institutions, or industry roles like quantitative analysis and risk management. They use advanced statistical and mathematical tools, and may publish their findings or develop models for financial decision-making. Many also work in consulting, policy, or financial technology sectors, applying their expertise to solve complex financial problems.

What are popular job titles related to Phd Finance jobs in Bothell, WA?

For Phd Finance jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Phd Finance jobs in Bothell, WA look for?

The top searched job categories for Phd Finance jobs in Bothell, WA are:

Phd Finance jobs near you
Infographic showing various Phd Finance job openings in Bothell, WA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 78% Physical, 10% Hybrid, and 12% Remote job distribution, with an average salary of $47,429 per year, or $22.8 per hour.

Data Science Manager, Finance and Strategy

Stripe

Seattle, WA • On-site

Other

Re-posted 12 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise.
What you'll do
Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
  • Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.
  • Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
  • Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
  • Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
  • Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.
  • Contribute to broad data science initiatives as a member of Stripe's data science management team.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
  • You've demonstrated expertise in designing metrics and guiding business decisions with data.
  • You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
  • You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
  • You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
  • You have clear and persuasive communication skills in writing and in speech.
  • You thrive on a high level of autonomy and responsibility.
  • You foster a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
  • A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
  • You're comfortable working with geographically distributed teams.
  • Expertise in time series forecasting, predictive modeling, or optimization
  • Expertise in data design and building scalable data architectures

Apply