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Bank Python Jobs in Oklahoma (NOW HIRING)

CRES Sr Business Analyst

Tulsa, OK · On-site

$81K - $104K/yr

Bank of Texas and BOK Financial. Bonus Type Discretionary Summary BOK Financial is a leading ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

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Bank Python information

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 cities in Oklahoma are hiring for Bank Python jobs?

Cities in Oklahoma with the most Bank Python job openings:

CRES Sr Business Analyst

BOK Financial

Tulsa, OK • On-site

$81K - $104K/yr

Full-time

Re-posted 26 days ago


Job description

Req ID: 78255 

Location: Tulsa -TUL 

Areas of Interest: Consumer Operations 

Pay Transparency Salary Range: Not Available 

Application Deadline: 09/28/2026

BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial.

Bonus Type
Discretionary
Summary

BOK Financial is a leading financial services organization offering comprehensive banking, investment, and wealth management solutions across multiple markets. We focus on long-term performance, strong risk management, and delivering reliable financial expertise to the clients and communities we serve. Our regional strength and diversified business model allow us to grow strategically while maintaining stability and consistency. We remain committed to providing high-quality financial services that support the evolving needs of individuals, businesses, and institutions.

Job Description

The Corporate Real Estate Sr. Business Analyst is a senior, decision-oriented role within Corporate Real Estate Services (CRES) responsible for executing complex analysis and advancing data foundations and analytical capabilities that support real estate portfolio decisions across retail branches/ATMs and office/workplace assets.

This role operates with high autonomy, partnering across lines of business to structure business problems, build fit-for-purpose datasets, define data requirements, and translate analysis into actionable insights. The role requires demonstrated ability to independently engage senior stakeholders, influence decision-making, and drive alignment across competing priorities in a complex, cross-functional environment. Additionally, this role executes analysis, develops datasets, and advances data capabilities to support Corporate Real Estate Strategy.

Team Culture

At BOK Financial, your potential is our priority, with opportunities designed to help you grow. We create an environment where people are trusted, encouraged, and equipped to build meaningful, lasting careers. Our leaders invest in development, offering guidance, connection, and support every step of the way. Here, you'll find a culture focused on what you can achieve-empowering you to grow with purpose and make an impact.

How You'll Spend Your Time
  • You will translate business questions into structured, data-driven analysis to guide real estate portfolio decisions across branches, ATMs, and workplaces.
  • You will build and manage datasets that integrate property, workforce, and market data to support consistent and reliable analysis.
  • You will collaborate across teams to define data needs, close gaps, and align on priorities and business rules.
  • You will develop workplace analytics by establishing KPIs and measuring occupancy, utilization, capacity, and space demand.
  • You will support data and technology efforts by evaluating tools, building business cases, and helping implement new capabilities.
  • You will create dashboards and analytical tools that deliver clear insights and support informed decision-making.
Education & Experience Requirements

Bachelor's degree in Business, Finance, Economics, Data Analytics, Real Estate, Engineering, Information Systems, or related field required; Master's preferred.

Typically requires 5+ years of experience in analytics, business analysis, corporate real estate, or related roles. Proven experience in a corporate, cross-functional environment with senior stakeholder engagement. Demonstrated ability to lead analytical work, navigate ambiguity, and drive alignment across stakeholders. Financial services or corporate real estate experience preferred. 

  • Advanced analytical execution: End-to-end analysis across large, imperfect datasets; ability to build what may not be readily available.  
  • Data enablement & design: Defines data requirements, builds fit-for-purpose datasets, and establishes repeatable analytical inputs without owning enterprise systems.
  • Cross-functional leadership without authority: Ability to influence and align key stakeholders through structured thinking and credibility.
  • Executive communication: Translates complexity into clear, decision-oriented insights for senior stakeholders.
  • Judgment & decision support: Frames tradeoffs, identifies risks, and avoids surface-level or purely descriptive outputs.
  • Minimum of 5 years direct experience in tool fluency such as: SQL, Power BI, Alteryx, Excel, Copilot/AI required; Python and/or ESRI preferred.
  • Operating in ambiguity: Comfortable building structure where none exists; adapts as business needs evolve.

BOK Financial Corporation Group is a stable and financially strong organization that provides excellent training and development to support building the long term careers of employees. With passion, skill and partnership you can make an impact on the success of the bank, customers and your own career!  
Apply today and take the first step towards your next career opportunity!
The companies in BOK Financial Corporation Group are equal opportunity employers.  We are committed to providing equal employment opportunities for training, compensation, transfer, promotion and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, pregnancy status, sexual orientation, genetic information or veteran status.

Please contact recruiting_coordinators@bokf.com with any questions.