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Bank Python Jobs in Pico Rivera, CA (NOW HIRING)

Familiarity with bank portals, bank account documentation, and banking products. Exposure to process automation, data tools, or light scripting (e.g., SQL, Python, using APIs/filebased interfaces ...

Familiarity with bank portals, bank account documentation, and banking products. * Exposure to process automation, data tools, or light scripting (e.g., SQL, Python, using APIs/filebased interfaces ...

... Bank's infrastructure, cloud platforms, and identity environments. This role operates with ... Engineer and implement security automation and orchestration (Python, PowerShell, APIs, SOAR ...

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Bank Python information

See Pico Rivera, CA salary details

$13

$58

$86

How much do bank python jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for bank python in Pico Rivera, CA is $58.54, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.49 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Bank Python developer?

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.

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 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 cities near Pico Rivera, CA are hiring for Bank Python jobs?

Cities near Pico Rivera, CA with the most Bank Python job openings:

Executive Director / Director, AI Data Science (Fixed Income/Investment Banking)

TWG Global AI

Santa Monica, CA โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-byย leveragingย data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.ย 

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit toย operateย autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.ย 

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. Byย leveragingย relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.ย 

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.ย 

The Role

As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives across TWG Global's fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function. You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.

You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and at scale. This role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.

Key Responsibilities

  • Lead flagship AI/ML projects that drive measurable value across fixed income trading, credit, rates, and investment banking workflows, from pricing and execution to risk and origination.
  • Direct the development of models for valuing illiquid instruments, forecasting price and spread movements, modeling prepayment and default risk, and analyzing the yield curve and interest rate dynamics.
  • Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation) and on their application to quantitative finance.
  • Translate complex desk-level and banking challenges into enterprise-grade data science solutions with tangible P&L and risk-adjusted ROI.
  • Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.
  • Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
  • Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
  • Define standards for experimentation, reproducibility, and model governance, consistent with the controls expected in a regulated capital markets environment.
  • Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.

Requirements

  • 10 or more years of experience in data science or machine learning, with proven delivery of enterprise-impact projects, including direct work in fixed income, capital markets, or quantitative finance.
  • Strong expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis.
  • Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives.
  • Demonstrated success leading end-to-end projects and influencing senior stakeholders on a trading floor or within a banking or risk function.
  • Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
  • Experience mentoring or leading small, high-performing teams.
  • Master's or PhD in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.

Preferred Qualifications:

  • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
  • Familiarity with model risk management and validation standards (e.g., SR 11-7) and establishing standards for reproducibility, experimentation, and responsible AI in a regulated setting.
  • Experience with market and tick data infrastructure, including KDB+/q or similar time series stores.
  • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
  • Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.

Benefits

Position Location

This is an on-site position based inย Santa Monica, CA or New York, NY. Relocation support is provided for qualified candidates.

Compensation

The expected base pay for this position is $299,000-390,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.ย 

TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.