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Credit Risk Data Science Jobs in Oklahoma (NOW HIRING)

BOK Financial

Enterprise Data Steward II

Tulsa, OK · On-site

... including Finance, Credit, Risk, and IT. How You'll Spend Your Time * You will identify data ... Science, Information Management, Industrial Engineering in addition to a minimum of 4 years of ...

Credit Agricole CIB

$80K/yr

General information Entity About Credit Agricole Corporate and Investment Bank (Credit Agricole CIB ... Perform quality assurance checks of the data in the TPRM tool by utilizing Excel, e.g., filters ...

Vision Bank

Credit Analyst I

Ada, OK · On-site

Analyzes credit data and financial statements of individuals or businesses to identify the degree of risk involved in lending money or extending credit. * For individuals, performs research to verify ...

Credit Agricole CIB

$150K - $175K/yr

General information Entity About Credit Agricole Corporate and Investment Bank (Credit Agricole CIB ... Verifies the accuracy of data in CACIB internal risk systems including Phidias, Eurecca, SIS, SMAC ...

Credit Agricole CIB

$160K - $200K/yr

Verifies the accuracy of data in CACIB internal risk systems including CREW, Dafne, Atlas ... Minimum seven years of credit or finance experience preferably at a bank or rating agency ...

Credit Agricole CIB

$125K - $150K/yr

General information Entity About Credit Agricole Corporate and Investment Bank (Credit Agricole CIB ... compliance risk monitoring through advanced analytics, streamlined reporting, and process ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Oklahoma

Credit Risk Data Science information

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Oklahoma?

For Credit Risk Data Science jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in Oklahoma look for?

The top searched job categories for Credit Risk Data Science jobs in Oklahoma are:

What cities in Oklahoma are hiring for Credit Risk Data Science jobs?

Cities in Oklahoma with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you

Enterprise Data Steward II

BOK Financial

Tulsa, OK • On-site

Full-time

Posted 15 days ago

Job description

Req ID: 78414 

Location: Tulsa -TUL 

Areas of Interest: Data; Enterprise Data 

Pay Transparency Salary Range: Not Available 

Application Deadline: 09/30/2026

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

We've built a culture at BOK Financial where amazing people (like you) can bring their best, be their best and work for the best. You've come to the right place to grow your career.

Job Description

The Senior Enterprise Data Steward performs a key role on BOKF's Data Governance team establishing data standards and governance.  This position is responsible for understanding and documenting how data migrates across the platforms, improving data quality, analyzing complex process controls, completing root cause analysis and leading activities related to problem resolution.

Team Culture

Our camaraderie, shared decision-making, and mutual respect for one another are what make us, one big happy family. All team members have a stake in the game and are encouraged to share their ideas on creating efficiencies and impacting our bottom line.

You will build relationships with the data governance team, members of the Enterprise Data Governance Executive Council, and key data stakeholders in all BOKF lines of business, including Finance, Credit, Risk, and IT.

How You'll Spend Your Time
  • You will identify data quality issues and causes through data profiling reviews and root cause analysis. You will work with the Data Governance Manager and Committee to prioritize and resolve these issues.
  • You will engage with business leadership to quantify and articulate the business impact of data quality issues.
  • You will recommend enterprise-level data quality measures and requirements, monitor data quality trends, define SLAs, and work with data engineers and data producers to resolve and prevent data issues.
  • You will use basic statistics as a part of the data quality efforts.
  • You will lead work groups and manage routine projects related to data governance.
  • You will develop and deliver status updates and presentations to senior management and stakeholders.
  • You will provide a level of guidance and support for stakeholders to improve their data literacy and advocate the adoption of data management and data governance best practices.
  • You will interpret business requirements and implications for data governance processes.
  • You will work across multiple data domains and lines of business to assess and document how data is created, transformed, stored, related and moved in technical systems and business processes to create data lineages for enterprise-wide use.
  • Using a process driven approach, you will lead all efforts identifying critical data elements (CDEs) that drive critical business activities.
  • You will develop and maintain inventory of enterprise data flows.
Education & Experience Requirements

The required level of knowledge is normally acquired through a Bachelor of Science in MIS, Computer Science, Information Management, Industrial Engineering in addition to a minimum of 4 years of related experience in MIS, IT, and Process Improvement.

  • Excellent SQL skills, experience with Visio, VBA, R, Power BI a plus
  • Strong understanding of Financial Services/Banking and/or Risk Measurement data, e.g. KPI, KRI, Metrics
  • Experience in and understanding of Quality / Testing Methodologies and tools
  • Experience in and understanding of complex application data flows across multiple highly integrated applications.
  • Experience with data management and data governance tools and processes a plus
  • Excellent oral and written communication skills to effectively represent self and BOKF, as well as ability to present complex information and issues in a clear and concise manner
  • Solid conceptual thinking and analytical skills with the ability to analyze complex problems that include interrelationships and dependencies in order to formulate effective solutions
  • Strong organizational skills with ability to persist through ambiguity and move ahead regardless of barriers
  • Ability to effectively plan time, method, manner and sequence of own work assignments and assignments of others while balancing the conflicting demands of stakeholders
Working Conditions & Physical Requirements
Office

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. 

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