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Bank Python Jobs in Massachusetts (NOW HIRING)

Citizens Bank

Principal Data Scientist

Boston, MA · On-site

$156K - $194K/yr

Performing exploratory data analysis in Datalake using Python & R; Developing predictive models by implementing data analysis and research, including time series analysis, regression analysis ...

Citizens Bank

Sr Data Analyst

Westwood, MA · On-site

$137K - $138K/yr

Utilizing Python, including Pandas, NumPy, SciPy, Scikit-learn, Plotly, Seaborn, and Statsmodels, for data cleaning, transformation, visualization, statistical modeling, and automating marketing ...

Citizens Bank

Principal Data Scientist

Westwood, MA · On-site

$145K - $194K/yr

Utilizing advanced statistical programming using tools in Python to create complex reports and graphs to illustrate analysis; Conducting optimization tests, including feature selections, cross ...

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$14

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How much do bank python jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for bank python in Massachusetts is $64.02, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.74 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 Massachusetts? For Bank Python jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in Massachusetts look for? The top searched job categories for Bank Python jobs in Massachusetts are:
What cities in Massachusetts are hiring for Bank Python jobs? Cities in Massachusetts with the most Bank Python job openings:
Bank Python jobs near you
Oracle Data Integrator Developer (ODI)

Oracle Data Integrator Developer (ODI)

IT America Inc

Boston, MA • On-site

Contractor

Posted 19 days ago

Job description

Position: Oracle Data Integrator Developer (ODI)

Location: Boston, MA / Jersey City, NJ (Hybrid)

Duration: Long term contract

Tope Must haves:

  • ETL/ELT
  • Oracle Data Integrator (ODI)
  • PL/SQL coding
  • 10+ years’ experience
  • Knowledge on how to be an admin side of things (not day to day but is able to do that)
  • Scripting – Python & Unix Scripting

Role Overview:

Seeking a highly skilled and experienced Sr. ODI Developer to join our Private Banking Systems team. The ideal candidate will possess expertise in a range of technologies, including ODI (Oracle Data Integrator), Oracle Data Warehouse, Linux, Python scripting, and have a deep understanding of the Banking domain is a big plus. As a ODI Data Engineer, you will play a pivotal role in designing, developing, and maintaining data solutions.

Key Responsibilities:

  • Build ODI mappings/interfaces, packages, procedures, scenarios, topology configuration, ODI Agent and load plans to integrate data from multiple enterprise systems.
  • Expertise in building Pl/SQL queries, procedures, data loading process, ensuring high-performance and scalability to meet the evolving data needs of the various applications.
  • Design, develop, and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI).
  • Collaborate effectively with cross-functional teams, including other data engineers, DBA group, analysts, and business stakeholders, to understand data requirements and deliver solutions.
  • Monitor and troubleshoot RMJ jobs, ODI workflows, sessions, agents, and data pipelines on Linux environments.
  • Perform root cause analysis for failures related to ODI workflows, RMJ jobs, network connectivity, API integrations, and file transfers.
  • Optimize ETL workflows to improve reliability, performance, and scalability.
  • Use scripting and automation tools to support data processing and operational workflows.
  • Work in Linux/Unix environments, using command-line tools and shell scripts for job automation and troubleshooting.
  • Maintain comprehensive documentation of data processes, configurations, and best practices.
  • Participate in walk-throughs which review program specifications, source code, and all technical supporting documentation, including screens/reports.
  • Provide feedback in accordance with team standards and guidelines.
  • Participate in implementation of changes, enhancements, and newly developed programs.
  • Conduct technical research and provide recommendations, develop proofs of concept or prototypes, contributing to technical design of applications.
  • Helping to identify coding patterns and anti-patterns and enforce implementation of the patterns through code reviews.
  • Quickly resolving issues encountered by business lines in the production environment, maintaining a helpful, "high touch" approach to working with business users, performing root cause analysis, technology evaluation, and performance tuning.