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Bank Python Jobs in New Jersey (NOW HIRING)

BC Forward

Senior Python Developer

Jersey City, NJ · On-site

$68.25/hr

Senior Python Developer Location: Jersey City, NJ (Hybrid, minimum 3 days onsite) Duration ... Familiarity with Bank of America Quartz environment and Quartz stack (DAG, QzRT, QFS Deal Model)

BC Forward

Senior Python Developer

Jersey City, NJ · On-site

$68.25/hr

Senior Python Developer Location: Jersey City, NJ Duration: Contract - 12 months Pay Range: $68.25 ... in banking or financial services. 3+ years as a quantitative researcher and/or developer, with ...

Infosys

Python Programmer

Jersey City, NJ · On-site

$82K - $126K/yr

Required Skill and Experience Experience in end-to-end implementation of projects in Python ... banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make ...

TEKsystems

Python/Quartz Developer

Jersey City, NJ · On-site +1

$75/hr

... across bank. Creative, quick-thinking and an aptitude for solving problems with technology ... Prior Capital Markets experience Skills python Top Skills Details python Additional Skills ...

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 ...

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How much do bank python jobs pay per hour?

As of Aug 21, 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

Software Engineer III - Python / AI

JPMorgan Chase & Co

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 7 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

72nd of 171 rated banks

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 
As a Software Engineer III - Python/ AI at JPMorganChase within the Commercial and Investment Bank , 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
  • Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack
  • Design and deliver data pipelines/ETL on modern data platforms (e.g., Databricks, Snowflake)
  • Execute software design, development, testing, and technical troubleshooting across the SDLC
  • Ensure large language models (LLMs) are used as controlled, well-understood components of the engineering lifecycle (enterprise-approved models)
  • Lead structured requirements analysis using LLM-assisted workflows to translate business and regulatory needs into clear technical specifications
  • Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts
  • Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments
  • Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations
  • Coach teams on safe, compliant LLM/agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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 3+ years applied experience.
  • Strong Python skills, including familiarity with agentic development practices
  • Experience with database design and data modeling on modern data platforms (e.g., Databricks, Snowflake)
  • Hands-on experience using approved AI-assisted development tools (e.g., copilots/LLM coding assistants) to design and deliver end-to-end applications, with strong validation habits for correctness, performance, and security
  • Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages
  • Strong understanding of SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls
  • Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency/security expectations), including experience coaching engineers on compliant adoption
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. 
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Experience in Risk and Pnl in Markets
  • Exposure to public cloud, with preference for AWS
  • Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts)
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

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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