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Bank Python Jobs in Ohio (NOW HIRING)

US Bank

Senior AI Platform Engineer

Cincinnati, OH · On-site

$53 - $68.25/hr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable applications using Python and microservices-based architectures * Apply secure ...

US Bank

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable, maintainable applications using Python and microservices-based architectures

US Bank

Quantitative Model Analyst 2

Columbus, OH · On-site

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... in SAS, Python, SQL, or similar Understanding of AML regulations Ability to interpret and ...

Huntington National Bank

Cloud & Data Engineer

Columbus, OH · On-site

$53.75 - $72/hr

Preferred Qualifications: * 1+ years of professional experience with Python and Pyspark ... Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited ...

PNC Bank

Software Engineer Lead

Strongsville, OH

$86K - $158K/yr

... banking, lending, and regulatory standards. - Evaluate and integrate emerging tools and ... Programming Languages & Frameworks - Python (expert level) - Django or similar Python web ...

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All JobsBank Python JobsBank Python Jobs in Ohio

Bank Python information

See Ohio salary details

$12

$55

$82

How much do bank python jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for bank python in Ohio is $55.73, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.32 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 Ohio?

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

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

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

Bank Python jobs near you
Infographic showing various Bank Python job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $115,921 per year, or $55.7 per hour.

Senior AI Platform Engineer

US Bank

Cincinnati, OH • On-site

$53 - $68.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

65th of 174 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Job Summary

The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment. This role requires strong hands-on expertise in LLM-based applications, GenAI architectures, and modern cloud-native engineering practices.

The position partners closely with cross-functional teams to build production-ready AI systems that meet enterprise standards for scalability, security, and reliability.

Key Responsibilities

1. GenAI Solution Development

  • Develop and implement GenAI applications leveraging:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG) architectures
    • Prompt engineering techniques
    • Agentic AI concepts and workflows
  • Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
  • Evaluate solution performance, accuracy, and scalability of GenAI implementations

2. GenAIOps & Lifecycle Support

  • Contribute to the end-to-end GenAI lifecycle, including:
    • Solution design and development
    • Integration and deployment
    • Performance tuning and optimization
  • Support secure deployment, horizontal scaling, and operational stability of GenAI workloads
  • Assist in implementing monitoring, logging, and observability practices for production environments

3. Cloud, Platform & Scalability Engineering

  • Develop and deploy GenAI systems across cloud platforms (Azure and AWS)
  • Contribute to distributed system design for scalable AI workloads
  • Utilize modern infrastructure practices:
    • Containerization (Docker)
    • Orchestration (Kubernetes)
    • Infrastructure as Code (Terraform, ARM/Bicep)
  • Ensure solutions meet enterprise expectations for availability, performance, and security

4. Software Engineering & Delivery Excellence

  • Develop scalable applications using Python and microservices-based architectures
  • Apply secure coding standards and proper data handling practices for enterprise, regulated environments
  • Contribute to CI/CD pipelines, automated testing, and deployment workflows
  • Participate in code reviews and adhere to engineering best practices

Basic Qualifications

  • Bachelor's degree, or equivalent work experience
  • Five to six years of relevant experience

Experience Should Include

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 7 - 9 years of experience in software or platform engineering
  • 2+ years hands-on experience with GenAI systems, including LLMs and RAG architectures and vector databases
  • Understanding of agentic AI concepts and exposure to frameworks such as LangChain or LangGraph
  • Experience with cloud platforms (Azure and/or AWS)
  • Knowledge of distributed systems and scalable application design
  • Proficiency in Python development
  • Experience with Docker, Kubernetes, and Infrastructure as Code tools
  • Experience deploying GenAI or ML solutions in production environments
  • Familiarity with observability and monitoring tools
  • Understanding of AI governance, compliance, and security practices
  • Experience in financial services or other regulated industries is a plus

Core Competencies

Technical Execution

  • Applies strong software engineering fundamentals to build production-grade systems
  • Delivers reliable, scalable, and maintainable GenAI solutions

Systems Thinking

  • Understands distributed systems and cloud-native architectures
  • Designs for scalability, performance, and resiliency

Learning & Innovation

  • Keeps pace with evolving GenAI technologies and frameworks
  • Continuously improves solution quality through experimentation

Collaboration & Delivery

  • Works effectively across engineering and product teams
  • Delivers against commitments with strong ownership and accountability

***This role requires working from a U.S. Bank location three (3) or more days per week.***

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $124,355.00 - $146,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

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Benefits

Hours and flexibility

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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