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Bank Python Jobs in Plano, TX (NOW HIRING)

Experience in developing and deploying conversational AI solutions, preferably in the banking or financial services sector. * Strong proficiency in Python programming and related libraries (e.g ...

... Python, find data inconsistencies, and resolve data quality issues. * Assists in executing risk models, documenting procedures, and running user acceptance testing for the Bank's Current Expected ...

... Python, find data inconsistencies, and resolve data quality issues. * Assists in executing risk models, documenting procedures, and running user acceptance testing for the Bank's Current Expected ...

Data Quality Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Implements DQ checks in Databricks pipelines using SQL and Python, Lakeflow Spark Declarative Pipeline expectations, and the bank's internal data quality rules engine. Develops automated validation ...

Data Quality Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Implements DQ checks in Databricks pipelines using SQL and Python, Lakeflow Spark Declarative Pipeline expectations, and the bank's internal data quality rules engine. Develops automated validation ...

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and ... The ideal candidate will have strong expertise in Python programming , FastAPI , and cloud ...

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Bank Python information

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$12

$56

$82

How much do bank python jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for bank python in Plano, TX is $56.11, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $63.75 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 Plano, TX? For Bank Python jobs in Plano, TX, the most frequently searched job titles are:
What cities near Plano, TX are hiring for Bank Python jobs? Cities near Plano, TX with the most Bank Python job openings:
Lead Software Engineer - Java/Python/AIML

Lead Software Engineer - Java/Python/AIML

JPMorgan Chase & Co

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 16 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

61st of 150 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, Corporate Oversight and Governance Technology team, you are an integral member of an agile team responsible for enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. In this core technical role, you lead the design and implementation of critical technology solutions across multiple technical domains and business functions, ensuring alignment with the firm's strategic objectives and promoting high-quality outcomes for stakeholders.

Job Responsibilities

  • Design, develop, test, and support enterprise applications and services using Java, Spring Boot, and Python.
  • Build and maintain RESTful APIs and backend components, integrating with internal platforms and data services.
  • Deliver AI/ML-enabled features through the full development life cycle using Agile methodology (from discovery and prototyping to production rollout and monitoring).
  • Translate business requirements into software and AI/ML specifications, define milestones, and ensure timely delivery.
  • Write secure, high-quality production code (Java/Spring Boot and Python), applying best practices in code quality, testing, and maintainability.
  • Design, develop, and troubleshoot AI/ML solutions, applying creative problem-solving to technical challenges.
  • Produce architecture and design artifacts for complex applications, including service decomposition, API contracts, and integration patterns.
  • Analyze and visualize large, diverse data sets to drive continuous improvement of applications and systems.
  • Identify patterns and insights in data to improve coding hygiene, performance, reliability, and system architecture.
  • Contribute to software engineering communities of practice and explore new and emerging technologies (backend engineering and AI/ML).

Required Qualifications, Capabilities, and Skills

  • Formal training or certification in Software Engineering concepts and 5+ years of applied experience.
  • Strong software engineering experience in Java and Spring Boot, including building and supporting production services.
  • Proficient in Python, including writing production-grade code and integrating with enterprise systems.
  • Strong understanding of data structures, algorithms, and object-oriented design.
  • Solid understanding of the Software Development Life Cycle, CI/CD, application resiliency/observability, and security.
  • Experience building and consuming RESTful web services, working with JSON, and integrating across distributed systems.
  • Hands-on experience developing or integrating AI/ML solutions in production (model integration, orchestration, evaluation, or ML-powered features).
  • Familiarity with LLMs, Retrieval-Augmented Generation (RAG), and vector search concepts.

Preferred Qualifications, Capabilities, and Skills

  • Experience with relational and/or NoSQL databases for data storage and retrieval in software and AI/ML projects.
  • Experience designing and building enterprise-scale, high-volume data processing applications.
  • Knowledge of RESTful Web Services and JSON for integrating solutions.
  • Agile development experience with SCRUM or similar methodologies.
  • Experience with artificial intelligence and machine learning tools and frameworks in development.
  • Familiarity with agentic workflows and relevant frameworks (e.g., LangChain, LangGraph, CrewAI, Auto-GPT) is a plus.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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