1

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

Financial Analyst

San Jose, CA · On-site

$70 - $78/hr

Senior Financial Analyst - Revenue Projection Location: San Jose, CA (Monday-Thursday onsite ... Python, or similar) • Experience in high-tech / software industry environments • Exposure to ...

Finance Analytics Engineer

San Mateo, CA · On-site

$185K - $221K/yr

Strong programming skills in Python. * An interest in learning core financial modeling concepts to understand data use-cases For roles that are based at our headquarters in San Mateo, CA: The ...

Own FP&A planning platform end-to-end: model architecture, formula logic, dimension hierarchies ... Python for prototyping and scripting automation logic, BigQuery + dbt for data transformation What ...

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 ...

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 ...

Reporting to the Financial Reporting Lead, you will play an important role in maintaining robust ... Strong Excel and data manipulation skills; experience with Python or SQL for reporting automation ...

Transitioning from manual or local processes into to governed, automated workflows in Dataiku SQL and Python fundamentals for Finance analysts No-code/low-code entry points with visual recipes Prompt ...

next page

Showing results 1-20

Python Financial information

See San Jose, CA salary details

$15

$68

$101

How much do python financial jobs pay per hour?

As of Jul 16, 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.

What are some common projects or tasks Python Financial professionals work on in a typical week?

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 is a Python Financial job?

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, and why are they important?

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 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:
Infographic showing various Python Financial job openings in San Jose, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $142,904 per year, or $68.7 per hour.
Financial Analyst

Financial Analyst

netPolarity

San Jose, CA • On-site

$70 - $78/hr

Contractor

Posted 19 days ago


Job description

Title: Senior Financial Analyst – Revenue Projection

Location: San Jose, CA (Monday-Thursday onsite, Friday remote)

Compensation: $65- $70 an hour on W2 ( negotiable)

Duration: 6 months contract

 

Senior Financial Analyst – Revenue Projection

Role Overview

We are seeking a highly experienced Senior Financial Analyst to perform revenue projection and forecasting activities for a new business segment, with a strong emphasis on software revenue modeling and analytics. This role will partner closely with Sales and Revenue Accounting, and cross-functional stakeholders to deliver accurate revenue forecasts, actionable insights, and support strategic business decisions.

The ideal candidate brings 10+ years of experience in financial analysis, deep expertise in software revenue dynamics, and strong proficiency in data analytics, Excel, and modeling tools.

Key Responsibilities

Revenue Forecasting & Analysis

•                    Perform revenue projection and forecasting processes for a new platform business

•                    Develop and maintain detailed forecasting models, incorporating pipeline, bookings, renewals, and backlog

•                    Partner with Sales and Business Units to validate assumptions and improve forecast accuracy

•                    Analyze variance drivers (e.g., bookings, churn, pricing, deal structure) and provide clear executive insights

Business & Commercial Support

•                    Support quarter-end close, weekly forecast cycles, and LTG analysis

•                    Provide revenue timing and risk assessment

•                    Collaborate with Deal Desk to evaluate pricing, terms, and revenue impact

•                    Identify risks and opportunities to optimize revenue outcomes

Qualifications and Requirement

•                    10+ years of experience in Sales Finance, or Revenue Analytics

•                    Strong experience with software revenue models (e.g., subscription, term license, SaaS, ratable revenue)

•                    Advanced proficiency in Microsoft Excel (complex modeling, pivot tables, scenario analysis)

•                    Strong analytical and problem-solving skills with the ability to translate data into business insights

•                    Proven ability to work cross-functionally and influence senior stakeholders

•                    Familiarity with revenue recognition concepts (ASC 606) and deal structuring impacts

Preferred

•                    Experience with data analysis tools (e.g., Power BI, Tableau, SQL, Python, or similar)

•                    Experience in high-tech / software industry environments

•                    Exposure to forecast automation or model optimization initiatives

Key Competencies

•                    Strong business acumen and commercial mindset

•                    High attention to detail and data accuracy discipline

•                    Ability to operate in a fast-paced, matrixed environment

•                    Clear and concise executive communication skills

Company Description

The mission of netPolarity is to be a leading full-service global supplier of workforce procurement solutions. We empower and enrich the lives of everyone we touch by “bridging the gap” between world class organizations and contingent workers.
Our vision is building a brand based on integrity, reliability, quality and professionalism; and to be the first supplier that clients think of when the best talent is needed as well as the employer of choice for contingent workers. Our name is synonymous with the best service offerings in the industry.
What We Stand For
netPolarity is built on a set of everlasting concrete values. We pride ourselves on exceeding both our clients’ and our contingent workers’ expectations, without ever compromising our core beliefs. Here are the values and commitments that we proudly stand by.
Integrity
We deliver what we promise. There is nothing more important to us than our word. Our reputation speaks for itself.
Ethics
We commit to maintaining the highest ethical standard in a