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Bank Python Jobs in New Jersey (NOW HIRING)

Socket.dev

Python Software Engineer III

Jersey City, NJ · On-site

$110 - $170/hr

Exposure to Banking/Finance or Risk domains * Possess good communication skills engage with ... python library would you use to solve X problem. technical very_difficult Job ID: 59ce51bd This ...

Citigroup, Inc.

VP Python Tech Lead

Rutherford, NJ · On-site

$142K - $213K/yr

The Python Tech Lead is a senior level position responsible for establishing and implementing new ... Background in financial business-like banking, risk management. Education: * Bachelor's degree ...

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Bank Python information

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$13

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How much do bank python jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for bank python in New Jersey is $59.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.60 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 are popular job titles related to Bank Python jobs in New Jersey?

For Bank Python jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Bank Python jobs in New Jersey look for?

The top searched job categories for Bank Python jobs in New Jersey are:

What cities in New Jersey are hiring for Bank Python jobs?

Cities in New Jersey with the most Bank Python job openings:

Bank Python jobs near you

Lead Software Engineer - Python, AWS & Cloud-Native Services

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$156K - $215K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Design, develop, and maintain production-grade Python services and APIs.
  • Architect and implement high-throughput, low-latency distributed systems in AWS environments.
  • Build and manage scalable cloud-native applications leveraging Amazon EKS, ECS, MSK (Kafka), SQS, and S3.
  • Develop reusable service frameworks, shared libraries, and modular application components.
  • Design and implement infrastructure-as-code solutions using Terraform and CloudFormation.
  • Create and maintain monitoring, alerting, and observability solutions utilizing Datadog, Dynatrace, and Splunk.
  • Deploy and support applications in production environments while ensuring adherence to service-level objectives (SLOs) and service-level agreements (SLAs).
  • Implement secure-by-design engineering practices, automated testing, and deployment strategies including blue/green and canary releases.
  • Review code, provide architectural guidance, and mentor engineers on software engineering best practices.
  • Collaborate with product managers, platform engineering teams, and site reliability engineers to deliver scalable business solutions.
  • Drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, operational excellence, troubleshooting, and delivery efficiency.
  • 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 in software engineering concepts and 5+ years of applied experience.
  • Advanced proficiency in Python programming, object-oriented design, and modular software architecture.
  • Experience building and operating large-scale, high-performance cloud-native services within AWS environments.
  • Hands-on experience with AWS technologies including EKS, ECS, MSK (Kafka), SQS, and S3.
  • Strong experience implementing Infrastructure as Code (IaC) solutions using Terraform and/or CloudFormation.
  • Expertise in designing, deploying, and supporting distributed systems in production environments.
  • Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Dynatrace, and Splunk.
  • Strong understanding of API design, microservices architecture, and scalable system design patterns.
  • Experience implementing automated testing, CI/CD pipelines, deployment automation, and secure software engineering practices.
  • Demonstrated experience utilizing approved AI-assisted software development tools for coding, code review, testing acceleration, troubleshooting, and operational support.
  • Strong understanding of responsible AI usage, application security, resiliency requirements, compliance standards, and mentoring engineers on engineering best practices.

Preferred qualifications, capabilities, and skills
  • Strong knowledge of distributed systems reliability patterns, including resiliency engineering, self-healing architectures, backpressure management, and idempotency.
  • Experience optimizing real-time and event-driven architectures at scale, particularly with Kafka-based messaging systems.
  • Experience implementing end-to-end observability, automated operational runbooks, and proactive monitoring frameworks.
  • Familiarity with CI/CD best practices, canary deployments, blue/green deployment strategies, and release automation within cloud environments.
  • Familiarity with Generative AI and Large Language Model (LLM) technologies and experience building engineering solutions that leverage AI/LLM platforms.

About Us
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
About the Team
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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