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Python Finance Jobs in Seattle, WA (NOW HIRING)

Randstad Digital

Analytics Analyst III

Auburn, WA · On-site

$40 - $50/hr

Proactively monitor claim trends and profitability across management liability and financial lines coverages. * Build, modify, and optimize analytical tools and risk models using R or Python.

Blue Origin

Financial Analyst II

Seattle, WA

$85K - $119K/yr

... finance, accounting, consulting, or related field * Strong Excel skills and knowledge around SQL or Python * Strong understanding of financial statements (P&L, balance sheet, cash flow) * Strong ...

New

Amazon

Sr. BI Engineer, AWS Regions Finance

Seattle, WA · On-site

$118K - $163K/yr

... Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing ...

Blue Origin LLC

Sr. Financial Analyst

Seattle, WA · On-site

$124.48 - $174.26/hr

... finance, accounting, consulting, or related field* Strong Excel skills, BI tools, and knowledge of SQL or Python* Strong understanding of financial statements (P&L, balance sheet, cash flow)* Strong ...

Blue Origin, LLC

Sr. Financial Analyst

Seattle, WA · On-site

$124K - $174K/yr

... finance, accounting, consulting, or related field * Strong Excel skills, BI tools, and knowledge of SQL or Python * Strong understanding of financial statements (P&L, balance sheet, cash flow)

Blue Origin

Sr. Financial Analyst

Seattle, WA

$124K - $174K/yr

... finance, accounting, consulting, or related field * Strong Excel skills, BI tools, and knowledge of SQL or Python * Strong understanding of financial statements (P&L, balance sheet, cash flow)

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All JobsPython Finance JobsPython Finance Jobs in Seattle, WA

Python Finance information

See Seattle, WA salary details

$15

$66

$98

How much do python finance jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for python finance in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

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

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

What are popular job titles related to Python Finance jobs in Seattle, WA?

For Python Finance jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Python Finance jobs in Seattle, WA look for?

The top searched job categories for Python Finance jobs in Seattle, WA are:

Python Finance jobs near you
Infographic showing various Python Finance job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Senior Economist, Advertising Finance Econ and Science

Amazon

Seattle, WA • On-site

$104K - $132K/yr

Full-time

Re-posted 20 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Amazon.com is seeking an exceptional Senior Economist to join our Advertising Finance team. As a tech lead of the Adpt Finance Econ and Science team, you will play a pivotal role in answering critical questions that drive the long-term strategy of our advertising business. These questions include:
- What are the long-term impacts of our initiatives?
- Where will Advertising's growth come from in the next year?
- How big will the Advertising business become over the next three years?
- What are the interactions between consumers and the Ads business?
At Amazon, we're always finding answers that redefine industries

In this Senior Economist role, you'll have the unique opportunity to collaborate with top-tier talent, influence senior leadership, and make a tangible impact on the future of advertising.
If you're passionate about pushing the boundaries of economic research, thrive on challenging modeling puzzles, and crave a dynamic environment where your insights directly shape business strategy, this is the role for you.
Key job responsibilities
- Lead causal analysis projects as the primary technical expert, guiding the team in applying advanced economic methodologies to solve complex business challenges.
- Collaborate closely with economists, data scientists, financial managers, and business leaders to define product requirements, offer scientific support, and effectively communicate feedback throughout project lifecycles.
- Utilize programming languages such as Python, R, Scala, etc., to implement sophisticated economics methods tailored to address specific business problems, ensuring robustness and scalability.
- Drive continuous improvement by innovating existing methodologies, including developing new data sources, rigorously testing model enhancements, and fine-tuning model parameters to optimize performance and accuracy.
- Present data and insights in a clear, actionable format, enabling stakeholders to make informed decisions and address critical business questions with confidence.

What Amazon employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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