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Python Financial Jobs in California (NOW HIRING)

Blockstream

Senior Financial Analyst

Los Angeles, CA · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

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

SpaceX

Financial Systems Analyst

Hawthorne, CA · On-site +1

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build Python automation to reduce manual work in finance processes, including data movement, report generation, validation, and pipeline orchestration * Create reports, tools, and standardized ...

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 ...

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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All JobsPython Financial JobsPython Financial Jobs in California

Python Financial information

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$13

$57

$85

How much do python financial jobs pay per hour?

As of Aug 19, 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Senior Full Stack Developer (Python, Serverless, AI Fluency)

VYNYL

Los Angeles, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Job description

Vynyl's technologists, designers and product strategists are experts at system modernization, new product development, and rescuing projects in distress. We use the best cloud-native and AI-enabled tools, and apply a battle-tested combination of Agile, Lean, and design thinking to collaboratively solve our client's most pressing challenges - and do it right the first time. We often work in regulated industries, such as healthcare, financial services, government and education. Our work helps detect diseases, identify kids who need special educational support, applies AI to support complex legal settlements, helps people access mental health services, and so much more.
The Role
As a Senior Full Stack Developer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.
A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.
Key Responsibilities
  • Lead the design and implementation of highly scalable, cost-efficient serverless backend services using Python and AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge).
  • Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
  • Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
  • Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
  • Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
  • Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
  • Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.
Qualifications
Required
  • 5+ years of professional experience in full-stack software development.
  • Expert-level proficiency in Python for backend development.
  • Strong working proficiency with Node.js.
  • Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
  • Hands-on experience with DynamoDB, including single-table design patterns, GSI/LSI strategies, and performance optimization at scale.
  • Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
  • Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
  • Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).
Nice to Have
  • Experience with advanced AWS services (e.g., Kinesis, SageMaker, Step Functions).
  • Familiarity with TypeScript for robust front-end or Node.js development.
  • Proficiency with a modern front-end framework (e.g., React, Vue, or Angular).
  • Experience working in a regulated or compliance-focused environment.
  • A Bachelor's or Master's degree in Computer Science or a related technical field.
AI and the Evolution of Software Engineering & Ops
All candidates must be prepared to discuss and demonstrate the following during the interview process:
  • Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
  • Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
  • Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
  • Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.
Application Process
To apply, please submit your resume and a cover letter. Your cover letter should be informed by the "AI and Forward-Looking Requirements" section above.
The hiring process includes:
  • Initial screening email
  • A Technical Assessment Interview
  • A Panel Interview
Salary Range $140,000 - $175,000
Benefits for Full-Time Employees
Excellent health, dental, vision, and life insurance
Excellent 401(k) plan with annual employer match of 4%

Apply