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Bank Python Jobs in Dallas, TX (NOW HIRING)

JP Morgan Chase

Lead Software Engineer Python AWS

Plano, TX

$130K - $160K/yr

As a Lead Software Engineer Python AWS at JPMorgan Chase within the Corporate Technology, you are ... Our history spans over 200 years and today we are a leader in investment banking, consumer and ...

CGI Inc.

AWS Python Full Stack Developer

Plano, TX · Hybrid

AWS Python Full Stack Developer Category: Software Development/ Engineering Main location: United ... We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us ...

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

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 ...

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Bank Python information

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$13

$57

$85

How much do bank python jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for bank python in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 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 Dallas, TX? For Bank Python jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in Dallas, TX look for? The top searched job categories for Bank Python jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Bank Python jobs? Cities near Dallas, TX with the most Bank Python job openings:
Bank Python jobs near you
Lead Software Engineer Python AWS

Lead Software Engineer Python AWS

JP Morgan Chase

Plano, TX

$130K - $160K/yr

Full-time

Medical, Retirement

Posted 9 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 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 Python AWS at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Design, Develop and implement software solutions. 
  • Solve business problems through innovation and engineering practices. 
  • Engage in the full Software Development Life Cycle (SDLC), from requirements analysis through design, development, testing, and deployment.
  • Incorporate architectural standards into application design specifications, translating technical requirements into programmed application modules, and developing and enhancing software application modules. 
  • Identify and troubleshooting application code-related issues. 
  • Take active role in code reviews to ensure solutions are aligned to predefined architectural specifications. 
  • Assist with Design reviews by recommending ways to incorporate requirements into designs and data flows. 
  • Perform development and DevOps in a distributed environment.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. 
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience building  Microservices using python, Docker, Jenkins, Python-Streamlit, SQL, JSON, Kubernetes, AWS EMR, AWS EC2, AWS RDBMS (Postgres, Oracle) , Apache Spark, Pyspark, Tensorflow
  • Application architecture disciplines and technical design for financial applications.
  • Experienced with pair programming agents such as GitHub Copilot to accelerate prototyping.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. 
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices 
  • Solid grasp of Agile SDLC, CI/CD, and security best practices
  • Experience developing in large-scale corporate environments
  • Excellent problem-solving skills and the ability to think critically and creatively
  • Experience in mentoring and guiding junior engineers 

Preferred qualifications, capabilities, and skills

  • AWS Certified Solutions Architect certification
  • Experience in MLOps and building model serving applications
  • Experience with Agentic AI architecture and agents to solve business challenges
  • Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)
  • Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership. 
  • Define standards, best practices, and governance guidelines for the ML Platform.
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

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