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

Robert Half

Senior Financial Risk Analyst

Menlo Park, CA · On-site

$45.81 - $53.04/hr

Use SQL and Python-based analysis to organize data, test assumptions, and support scalable risk monitoring frameworks.* Bachelor's degree in Finance, Mathematics, Economics, Statistics, Engineering ...

Parafin

Finance Data Lead

San Francisco, CA · On-site

$200 - $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 ...

Tarana Wireless

Senior Financial Analyst

Milpitas, CA · On-site

$120K - $155K/yr

The Senior Financial Analyst is responsible for providing financial analysis, forecasting ... Python, VBA), or AI/agentic tools to automate reporting, compress analysis cycles, and reduce ...

Aplaro Ltd

Finance & Strategy Analyst

San Francisco, CA · On-site

$125 - $150/hr

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of ... Experience with Python or a willingness to learn * Experience in data visualization and ...

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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 Sep 7, 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 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 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 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.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

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 essential.

What are the most commonly searched types of Python Financial jobs in San Jose, CA?

The most popular types of Python Financial jobs in San Jose, CA are:

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 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $142,904 per year, or $68.7 per hour.

Senior Financial Risk Analyst

Robert Half

Menlo Park, CA • On-site

$45.81 - $53.04/hr

Temporary

Posted 6 days ago

Job description

We are looking for a Senior Financial Risk Analyst to join a Long-term Contract opportunity based in Menlo Park, California. In this role, you will help strengthen the organization’s approach to liquidity and market risk by delivering thoughtful analysis, practical forecasting insights, and decision-ready reporting. The position works closely with partners across Treasury, Finance, Product, Data, and Engineering to support informed risk decisions in a fast-moving business environment.
Responsibilities:
• Assess enterprise-wide financial exposures and highlight material risk developments for leadership through clear, data-driven analysis.
• Examine liquidity and market risk trends by performing quantitative reviews that surface vulnerabilities and emerging areas of concern.
• Build, refine, and maintain forecasting approaches and analytical models that support ongoing financial risk evaluation.
• Provide treasury-focused analysis related to liquidity positioning, capital considerations, and counterparty risk exposure.
• Collaborate with cross-functional teams to identify financial risk implications tied to new business initiatives, products, and strategic changes.
• Prepare regular executive-facing reports as well as custom analyses that translate complex findings into actionable insights.
• Strengthen risk management processes, reporting routines, and internal controls to improve accuracy, efficiency, and consistency.
• Use SQL and Python-based analysis to organize data, test assumptions, and support scalable risk monitoring frameworks.• Bachelor’s degree in Finance, Mathematics, Economics, Statistics, Engineering, Computer Science, or another quantitatively focused field.
• 3–5 years of experience in treasury analytics, financial risk, quantitative analysis, data analytics, or a closely related area.
• Strong capability in risk analysis, problem-solving, and interpreting complex financial data with a high level of accuracy.
• Working knowledge of liquidity risk management, stress testing, scenario analysis, value-at-risk, and sensitivity-based assessment methods.
• Understanding of financial markets, investment products, macroeconomic drivers, and core risk management practices.
• Advanced proficiency in SQL and Python for data analysis, modeling, and reporting.
• Ability to explain technical concepts and analytical conclusions effectively to both technical and non-technical stakeholders.
• Demonstrated success improving processes and independently driving projects from planning through execution.
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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948

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