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Python Financial Jobs in California (NOW HIRING)

Conventus

Financial Engineer

Westlake Village, CA

$107K - $132K/yr

... use of tools like R or Python. * Intermediate speaking and writing communication skills ... their finances, giving you invaluable hands-on experience to help grow your career! About the ...

Sirius XM Radio

Staff Python Engineer

Oakland, CA · On-site

Billing & Finance Platforms - the source of truth for revenue calculation, reconciliation ... Deep expertise in Python (Django, FastAPI, or similar frameworks) and backend architecture ...

Blockstream

Senior Financial Analyst

Los Angeles, CA · On-site

$125 - $150/hr

The Finance team at Blockstream plays an integral part in scaling the world's leading Bitcoin ... Familiarity with SQL or Python, not required, but useful for validating AI‑generated outputs

Sirius XM

Staff Python Engineer

Oakland, CA · On-site

Billing & Finance Platforms - the source of truth for revenue calculation, reconciliation ... Deep expertise in Python (Django, FastAPI, or similar frameworks) and backend architecture ...

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Python Financial information

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$13

$57

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How much do python financial jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python financial in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 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 California?

The most popular types of Python Financial jobs in California are:

What are popular job titles related to Python Financial jobs in California?

For Python Financial jobs in California, the most frequently searched job titles are:

What job categories do people searching Python Financial jobs in California look for?

The top searched job categories for Python Financial jobs in California are:

What cities in California are hiring for Python Financial jobs?

Cities in California with the most Python Financial job openings:

Python Financial jobs near you
Infographic showing various Python Financial job openings in California as of September 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Senior Software Engineer (Python / Agentic AI)

Los Angeles, CA • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

$132K - $174K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 7 days ago

Job description

This is a full-time, hybrid opportunity based in Woodland Hills, California with a leading enterprise SaaS organization focused on modernizing financial and accounting operations through cloud-based platforms. The role centers on Python, agentic AI, and scalable backend systems, giving you the opportunity to work on high-impact distributed architectures and AI-driven product innovation.
If you are a backend engineer who thrives on building high-performance systems and wants to work at the intersection of AI and enterprise SaaS, this is a strong opportunity for growth. The team is looking for engineers who are passionate about clean code, scalability, and innovation, and who want to mentor others while continuing to expand their own technical depth. You will gain exposure to modern cloud technologies, AI-first development practices, and complex real-world systems, all within a collaborative environment that values continuous learning and excellence. Required Skills & Experience 5+ years of software engineering experience (or 3+ years with a Master's degree)
Strong proficiency in Python, Java, C#, or .NET
Experience building web applications and SaaS platforms
Hands-on experience with RESTful APIs and distributed systems
Advanced SQL knowledge including data modeling, transactions, and querying
Solid understanding of data structures, algorithms, and design patterns
Experience with Agile/Scrum development methodologies
Exposure to AI-first or agentic AI development approaches
Strong focus on code quality, testing, and maintainability Desired Skills & Experience Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform
Familiarity with PostgreSQL and NoSQL databases
Experience with Docker and Kubernetes
Knowledge of messaging systems such as Kafka, RabbitMQ, or SQS
Understanding of API gateways, authentication, and identity management
Experience designing and scaling high-performance systems
Exposure to open-source tools and frameworks
Background working in financial systems or similar domains What You Will Be Doing Tech Breakdown 40% Backend Development (Python, APIs, distributed systems)
25% Cloud and Infrastructure (AWS/Azure/Google Cloud Platform, containers, databases)
20% AI / Agentic System Development
15% Performance Optimization and System Reliability Daily Responsibilities 70% Hands On Development
10% Mentorship and Technical Leadership
20% Team Collaboration and Cross-Functional Work The Offer Bonus eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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