ZipRecruiter

Log In

1

Bank Python Jobs in Utah (NOW HIRING)

Zions Bank

Applied AI Scientist

Midvale, UT · On-site

... banking processes, and transform data into actionable insights. You will work alongside other ... Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow

Zions Bank

Salesforce Developer

Midvale, UT · On-site

$90K - $120K/yr

Zions Bancorporation is building the bank of the future and changing what it means to work for a ... Working knowledge of modern programming languages such as Java, C#, or Python. Pay Range: $90,000 ...

Zions Bank

Software Engineer (QA Services)

Midvale, UT · On-site

... future of banking. We create cutting-edge, self-service products, develop robust upskilling ... Proficiency in modern languages like Java, C#, or Python. * 4+ years of deep, hands-on experience ...

Zions Bank

Systems Engineer

Midvale, UT · On-site

Knowledge and/or experience of any scripting language like Bash, Perl, Python, Java, YAML, Node.js ... Employee Ambassador preferred banking products Apply now if you have a passion for impactful ...

Zions Bank

AI Engineer - Innovation Lab

Midvale, UT · On-site

... Python programmingand application servers (e.g., WebSphere, Tomcat), data modeling concepts, and ... Financial or banking services experience is a plus. * Bachelor's degree in Computer Science ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

Overview Our International, Open Banking, Product Value Proposition Team is looking for a Senior ... Workplace Python coding experience, including a good knowledge of the principal Python Data Science ...

next page

Showing results 1-20

People also search for

All JobsBank Python JobsBank Python Jobs in Utah

Bank Python information

See Utah salary details

$12

$53

$78

How much do bank python jobs pay per hour?

As of May 30, 2026, the average hourly pay for bank python in Utah is $53.37, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $60.62 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 Utah? For Bank Python jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in Utah look for? The top searched job categories for Bank Python jobs in Utah are:
What cities in Utah are hiring for Bank Python jobs? Cities in Utah with the most Bank Python job openings:
Bank Python jobs near you
Director of Model Validation

Director of Model Validation

First Electronic Bank

Salt Lake City, UT

$16.75 - $23/hr

Other

Posted 2 days ago

Job description

Description

At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB's engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions. 


We're looking for a Director of Model Validation to lead the Model Risk Management (MRM) function and ensure the integrity and performance of the models that power our lending products with our Strategic Partners. In this role, you'll lead the department and set the directive for the Bank to oversee the validation of models and strategies used to underwrite products like small business loans, credit cards, and personal unsecured installment loans and lines of credit. 


Reporting to the Head of Credit Risk and Portfolio Analytics, you'll set the strategic direction for model governance and validation across our FinTech partnerships-covering products like small business loans, credit cards, and personal installment loans. 

This is a high-impact leadership role where you'll shape policy, manage a talented team, and collaborate with internal and external stakeholders to ensure regulatory compliance and model excellence. 


What You'll Do: 

  • Own and manage the Bank Strategic Partner Model Risk Management function, including Model Governance policies and procedures. 
  • Continuously enhance processes and controls to ensure compliance with regulatory requirements.  
  • Mentor, develop and lead a team of Model Validation Analysts and Managers responsible for validation credit risk, fraud detection, and behavioral credit models across our Fintech partnerships. 
  • Oversee and maintain the internal model inventory for the Strategic Partner products. 
  • Lead and improve loan portfolio performance monitoring processes using data feeds and visualization tools such as PowerBI.  
  • Collaborate with external data science and modeling teams, providing guidance on model development and ensuring thorough documentation and adherence to Model Risk Management standards.  
  • Partner with Compliance to define and strengthen standards that ensure fair lending practices and regulatory compliance.  
  • Support due diligence efforts by assigning model validation subject matter experts to the process. 
  • Serve as primary point of contact during regulatory exams (FDIC, UDFI) for model risk management activities. 
  • Work with external vendors and legal counsel to validate modeling techniques and align with industry best practices. 
  • Participate in Bank Committees and Advisory Groups to provide strategic input on model risk initiatives. 

Requirements

What We're Looking For:  

  • Advanced degree in a quantitative field or equivalent practical experience in data science, statistical modeling, or quantitative analysis.  
  • 5+ years of experience in regulated banking or financial services industry. 
  • 3+ years of direct people management experience in a quantitative discipline. 
  • Strong knowledge of regulatory requirements for model risk management (SR 11-7). 
  • Experience participating in, or leading, supervised regulatory exams. 
  • Proven experience developing and validating statistical and machine learning models for credit risk. 
  • Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. 
  • Experience presenting to executive leadership and supporting strategic committees. 
  • Adaptable, collaborative mindset-ready to thrive in a fast-paced growing organization.  
  • Proficiency in programming languages such as Python, R, SAS, or SQL a plus. 

Apply