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Bank Python Jobs in Pennsylvania (NOW HIRING)

Palnar

Python Application Engineer

Pittsburgh, PA · On-site

... bank companies closing) - Another project is a federal program that looks at loss over life of a ... developed - Deep SQL and Python in data science and machine learning space good in finance ...

PNC Bank

Software Engineer (Python)

Pittsburgh, PA · On-site

$45K - $121.90K/yr

Strong foundation in Python programming and SQL. Basic understanding of Hadoop ecosystem (e.g ... Exposure to banking data types (e.g., transactions, customer profiles, risk metrics). Understanding ...

Customers Bank

BI Developer

Malvern, PA

$145K - $165K/yr

At Customers Bank, we believe in working hard, working smart, working together to deliver memorable ... Fabric, Python Data Libraries (Pandas/Polars/DuckDB), and Power BI. * Deep understanding of ...

Customers Bank

BI Developer

Malvern, PA · On-site

$145K - $165K/yr

At Customers Bank, we believe in working hard, working smart, working together to deliver memorable ... Fabric, Python Data Libraries (Pandas/Polars/DuckDB), and Power BI. * Deep understanding of ...

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How much do bank python jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for bank python in Pennsylvania is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 per hour, depending on experience, location, and employer.

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.

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 popular job titles related to Bank Python jobs in Pennsylvania? For Bank Python jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in Pennsylvania look for? The top searched job categories for Bank Python jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Bank Python jobs? Cities in Pennsylvania with the most Bank Python job openings:
Bank Python jobs near you
Python Application Engineer

Python Application Engineer

Palnar

Pittsburgh, PA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Duration: Contract-to-hire at 12-month mark or before, must be US Citizen or GC Holder/GC EAD. Also can accept OPT EAD candidate with current VISA end date past 4/2024
Job Description:
- One project is aFederal Program to perform stress testing (Due to silicon valley bank companies closing)
- Another project is a federal program that looks at loss over life of a loan
- Team generate all documentation on how stress models are developed
- Deep SQL and Python in data science and machine learning space good in finance
- Pittsburgh and Lake Mary are available office locations
- Team is built in 2020 and growing, about 35 ppl now and hiring more
- Need to know Python well; Pandas and NumPy
- Statistics and Mathematics background is great if they have the addition of Python development/engineering
- Knowing Oracle and BigData is helpful as well
- Overlapping work with development and data science
- 1 day onsite currently though may become more
- Java, Angular, Hadoop, etc. are all plusses
- Years of experience are not really required, more focused on expertise and sharpness of candidate.

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