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Python Financial Jobs in San Jose, CA (NOW HIRING)

Hyve Solutions

Financial Analyst

Fremont, CA · On-site

Work with sales, operations, and finance to develop and implement action items to address performance issues stemming from analysis. * Develop ad-hoc reporting and analysis on specific P&L drivers.

hyve solutions

Financial Analyst

Fremont, CA · On-site

... Python, or Java, and SQL. If you are passionate about leveraging data to drive decision-making and ... Bachelor's degree in Business, Finance or a related field * Minimum 2-5+ years of experience in a ...

Parafin

Finance Data Lead

San Francisco, CA · On-site

$210 - $250/hr

Own financial data workflows end-to-end -- from sourcing and transforming raw data (SQL, Python, etc.) to building clean, auditable outputs in Excel or BI tools * Build and maintain financial models ...

Parafin

Finance Data Lead

San Francisco, CA · Remote

$210K - $250K/yr

Own financial data workflows end-to-end -- from sourcing and transforming raw data (SQL, Python, etc.) to building clean, auditable outputs in Excel or BI tools * Build and maintain financial models ...

Parafin, Inc

Finance Data Lead

San Francisco, CA · On-site

$210K - $250K/yr

Own financial data workflows end-to-end - from sourcing and transforming raw data (SQL, Python, etc.) to building clean, auditable outputs in Excel or BI tools * Build and maintain financial models ...

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Showing results 21-40

All JobsPython Financial JobsPython Financial Jobs in San Jose, CA

Python Financial information

See San Jose, CA salary details

$15

$68

$101

How much do python financial jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python financial in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in Python Financial roles, as it is widely used for data analysis, quantitative modeling, and automation of financial tasks. Its extensive libraries like pandas, NumPy, and scikit-learn enable efficient handling of large datasets and complex calculations, making it a valuable skill in the finance industry.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being highly valued.

What is a Python Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

What are popular job titles related to Python Financial jobs in San Jose, CA? For Python Financial jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Python Financial jobs in San Jose, CA look for? The top searched job categories for Python Financial jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Python Financial jobs? Cities near San Jose, CA with the most Python Financial job openings:
Python Financial jobs near you
Infographic showing various Python Financial job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $142,904 per year, or $68.7 per hour.

Finance Systems Engineer, Revenue

Anthropic

San Francisco, CA

Full-time

Re-posted 26 days ago

Job description

About the role

Anthropic's Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle-from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet.

We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software-not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements.

The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI.

Responsibilities

  • Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio

  • Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications

  • Design system integrations that are auditable, observable, and recoverable-with the rigor that SOX compliance demands

  • Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions

  • Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs-and then build them yourself

  • Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency

  • Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently

  • Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do

  • Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months

You may be a good fit if you

  • Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment

  • Are proficient in Python and JavaScript/Node.js; React experience is a strong plus

  • Have experience building and maintaining system integrations-REST APIs, event-driven pipelines, or ETL workflows-in a production environment

  • Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation

  • Bring enough business context to ask the right questions when a Finance stakeholder explains a problem-you don't need to be an accountant, but you need to care about getting it right

  • Are comfortable working directly in systems-configuring, troubleshooting, and building solutions yourself rather than solely managing vendors

  • Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch

  • Are energized by working close to the business-you want to see the impact of your code, not just ship features

Strong candidates may also

  • Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration

  • Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity

  • Have built SOX-compliant systems or supported an external audit related to financial systems

  • Have deep understanding with ASC 606 revenue recognition or consumption-based billing models

  • Be a power user of Claude Code or similar AI-assisted development tools

  • Have experience at a high-growth technology company navigating system consolidation

  • Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited

Apply