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Python For Finance Jobs in California (NOW HIRING)

Anthropic

Analytics, Finance & Strategy

San Francisco, CA · On-site

$270K - $320K/yr

Highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation ... Hands-on experience working with financial systems and building downstream data models from these ...

Samaya AI

Product Manager - Finance

Mountain View, CA · On-site

$140K - $210K/yr

Role As one of Samaya's Finance Product Managers, you will own the domain strategy that enables ... Hands-on experience scripting in Python or SQL for data analysis * Prior experience at a fast ...

Pacificlife

Finance Quant Developer

Newport Beach, CA

SQL and Python for data processing and business logic * AWS for cloud infrastructure and services ... Demonstrated experience in finance quant development supporting and working closely with investment ...

Prophecy Technologies

Cloud Security Engineer

Irvine, CA · On-site

$59.75 - $80/hr

... using Python for security monitoring, compliance validation, and remediation activities. • ... financial services. Required Skills & Experience • 5+ years of experience in Cloud Security ...

Hired Recruiters

Senior Python Developer (Back-end)

Austin, TX · On-site +1

$120K - $162K/yr

We are building a product to improve financial inclusion and democratize access to credit, such as ... Keep yourself accountable for work, by keeping track of key metrics for yourself * Thrive in a ...

Uniqus Consultech Inc

Associate Director

San Jose, CA · On-site

Use SQL and Python for querying, data transformation, statistical modeling, automation, and ad hoc ... Collaborate cross-functionally with client stakeholders in supply chain, finance, and IT to ...

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Python For Finance information

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
What cities in California are hiring for Python For Finance jobs? Cities in California with the most Python For Finance job openings:
Python For Finance jobs near you
AI/Machine Learning Engineer - Python - Loops

AI/Machine Learning Engineer - Python - Loops

IFS

Palo Alto, CA • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
IFS is a billion-dollar revenue company with over 7000 employees, renowned for its cutting-edge AI technology that enhances enterprise software solutions. The AI/Machine Learning Engineer will design and optimize backend systems, develop Python services, and integrate AI/ML capabilities into enterprise workflows.
Responsibilities:
• Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality.
• Develop reusable libraries, APIs, and frameworks to accelerate AI-driven product capabilities.
• Ensure code quality, maintainability, and scalability through testing, CI/CD, and performance monitoring.
• Implement and optimize workflows leveraging LLMs, embeddings, RAG systems, and vector databases.
• Integrate AI/ML libraries and external APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, Weaviate).
• Experiment with prompt engineering and fine-tuning to improve reliability and performance of deployed agents.
• Partner with product and core engineering teams to translate requirements into technical solutions.
• Contribute to architecture decisions and internal technical documentation.
• Support the deployment of agents into enterprise environments with a focus on stability, accuracy, and scale.
Qualifications:
Required:
• 2–5 years of professional experience as a Python Engineer / Backend Engineer (experience with AI/ML is a strong plus).
• Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations.
• Hands-on knowledge of AI/ML frameworks and tools (OpenAI, Hugging Face, LangChain, vector DBs, RAG).
• Understanding of system integration patterns and comfort working with RESTful APIs, JSON, and data pipelines.
• Strong debugging, testing, and optimization skills.
• Ability to write clean, maintainable, and well-documented code.
Preferred:
• Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus.
Company:
IFS develops and delivers enterprise software solutions such as ERP, EAM, Service Management and Industrial AI It is a sub-organization of EQT. Founded in 1983, the company is headquartered in Linköping, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.

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