ZipRecruiter

Log In

1

Bank Python Jobs in California (NOW HIRING)

East West Bank

Senior AI Engineering

Pasadena, CA · On-site

$150K/yr

Introduction Since 1973, East West Bank has served as a pathway to success. With over 110 locations ... Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML ...

US Bank

Lead AI Platform Engineer

Cupertino, CA

$126K - $166K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable, maintainable applications using Python and microservices-based architectures

East West Bank

Senior Business Data Analyst

Pasadena, CA · On-site

$100K - $125K/yr

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U ... Basic Python experience (simple scripts for automation) * Experience with data validation ...

East West Bank

Senior Business Data Analyst

Pasadena, CA · On-site

$100K/yr

Introduction Since 1973, East West Bank has served as a pathway to success. With over 110 locations ... Basic Python experience (simple scripts for automation) * Experience with data validation ...

East West Bank

Senior Accountant II

Pasadena, CA

$80K - $95K/yr

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U ... Power Query, Python) is a plus. * Excellent analytical, problem-solving, and communication skills.

New

East West Bank

Senior Accountant

Pasadena, CA · On-site

$75K/yr

Introduction Since 1973, East West Bank has served as a pathway to success. With over 110 locations ... Power Query, Python) is a plus. * Excellent analytical, problem-solving, and communication skills.

next page

Showing results 1-20

All JobsBank Python JobsBank Python Jobs in California

Bank Python information

See California salary details

$13

$57

$85

How much do bank python jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for bank python 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.

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

What is a Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What is the difference between Bank Python vs Bank Data Analyst?

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

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

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.
What are popular job titles related to Bank Python jobs in California? For Bank Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in California look for? The top searched job categories for Bank Python jobs in California are:
What cities in California are hiring for Bank Python jobs? Cities in California with the most Bank Python job openings:
Bank Python jobs near you
Infographic showing various Bank Python job openings in California as of June 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.
Senior AI Engineering

Senior AI Engineering

East West Bank

Pasadena, CA • On-site

$150K/yr

Full-time

Posted 15 days ago

Job description

Introduction
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
Overview
East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical leader will translate emerging AI capabilities into secure, scalable, production-ready banking applications that improve operational efficiency, risk management, customer experience, and employee productivity.
The role is expected to be hands-on at the outset while helping establish foundational AI engineering capabilities, operating standards, and a small, high-performing AI engineering team.
Responsibilities
  • Design, develop, and deploy enterprise AI and Generative AI applications for prioritized banking use cases (e.g., customer service, fraud detection, document processing, knowledge management, and operational efficiency)
  • Architect LLM-enabled solutions spanning retrieval-augmented generation, vector search, agentic workflows, MCP, model orchestration, tool/function calling, and human-in-the-loop controls.
  • Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns.
  • Integrate AI capabilities into enterprise applications, developer workflows, knowledge management platforms, automation, analytics, and decision-support processes.
  • Establish engineering practices for CI/CD, testing, model evaluation, observability, performance optimization, security, and responsible AI controls.
  • Establish reusable AI engineering frameworks, reference architectures, code standards, deployment patterns, and governance controls to accelerate enterprise adoption.
  • Partner with business, data, cybersecurity, risk, compliance, legal, and vendor teams to ensure solutions meet regulatory, privacy, auditability, and operational risk expectations.
  • Prototype rapidly with stakeholders, convert pilots into scalable implementations, and define measurable adoption and impact metrics.
  • Evaluate LLM platforms for accuracy, latency, cost, security, explainability, and fit for regulated enterprise use cases.
  • Support hiring, mentoring, and day-to-day technical leadership of AI engineers and cross-functional delivery teams.
  • Stay current with emerging AI technologies and advise leadership on practical opportunities, risks, and implementation tradeoffs.
  • Perform other duties as assigned.

AI Fluency & Hands-On LLM Skills
  • Hands-on experience with major LLM platforms, including OpenAI ChatGPT/Codex, Anthropic Claude, Google Gemini, Microsoft Copilot/Azure OpenAI, AWS Bedrock, and open-source models such as Llama or Mistral.
  • Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation.
  • Ability to design AI applications that include data protection, source validation, access control, logging, monitoring, traceability, and human review where appropriate.
  • Strong understanding of Responsible AI, model governance, prompt-injection risks, data privacy, and production controls for LLM-enabled solutions.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience; advanced degree preferred.
  • 10+ years of progressive experience in software engineering, AI engineering, platform engineering or related technology leadership roles, including experience delivering production AI solutions
  • Proven experience leading AI, data, automation, or emerging technology initiatives from strategy and experimentation through production delivery.
  • Strong hands-on engineering background in Python, API design, microservices, cloud architecture, distributed systems, data pipelines, CI/CD, testing, observability, and secure software delivery.
  • Deep experience with the Azure ecosystem, including Azure OpenAI, Azure ML, Databricks, ADLS, Azure AI Search, and related enterprise integration patterns.
  • Experience with LLM frameworks and tooling such as LangChain, LlamaIndex, Semantic Kernel, vector databases, model registries, evaluation frameworks, and monitoring/observability tools.
  • Strong process and data discipline, including data quality, lineage, metadata, workflow design, controls, operational risk, and measurable business outcomes.
  • Experience in financial services, banking, fintech, insurance, or another regulated industry with strong understanding of compliance, auditability, risk management, and governance.
  • Ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and translate complex AI capabilities into practical business solutions.
  • Strong executive communication skills, including the ability to define AI roadmaps, operating models, standards, adoption plans, and success metrics.

Preferred Qualifications
  • Master's degree in AI, Computer Science, Data Science, Engineering, or a related field.
  • Experience establishing AI engineering teams, platforms, reusable delivery patterns, and enterprise AI standards.
  • Experience with copilots, enterprise search, intelligent document processing, workflow automation, and AI-enabled knowledge management.
  • Experience driving AI vendor evaluation and selection processes within regulated environments
  • Familiarity with model risk management, third-party/vendor risk, privacy impact assessments, and regulated technology delivery.
  • Experience with MLOps/LLMOps, AI monitoring, evaluation pipelines, model/prompt registries, and production incident management.
  • Track record of mentoring senior engineers and building high-performing technical teams.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
Compensation
The base pay range for this position is USD $150,000.00/Yr. - USD $275,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

Apply