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Credit Risk Data Science Jobs in Oklahoma (NOW HIRING)

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Build customer-facing, live risk dashboards that visualize jobsite risk metrics and safety insights. EDUCATION/EXPERIENCE: Position requires a Master's degree (or foreign equivalent) in Data Science ...

$165K - $185K/yr

This review covers in particular the adequacy of the credit risk ratings for loans booked in the ... data entry verification) and regulatory loan classification guidelines, confirmation that credit ...

... data, or other required information Write comprehensive credit analyses evaluating borrower ... risk in assigned portfolio and prepare quarterly reports on sensitive names Support ad hoc ...

$110K/yr

LoanTrak, ACBS, Clearpar, Loantracker, Kiwis) Assist in regular monitoring of trading limits for Americas trading books with weekly reporting to RPC/Credit Risk Liaise directly with other secondary ...

Evaluates the credit risk of new and existing customers through analysis of financial data, payment history, and related credit information. * Recommends appropriate credit limits and payment terms ...

Evaluates the credit risk of new and existing customers through analysis of financial data, payment history, and related credit information. * Recommends appropriate credit limits and payment terms ...

$130K - $160K/yr

Verifies data inputs (including risk ratings, profitability assumptions) within several databases ... Bank Credit Training from a well-known institution Required skills Competencies Required Ability to ...

$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 ...

$160K - $165K/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, and ...

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 ...

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 ...

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 ...

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Credit Risk Data Science information

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 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.
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:

Fraud Data Scientist (Credit/Debit Card Transaction & Strategy)

PNC Bank

Ponca City, OK • On-site

$86K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 344 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Fraud Data Scientist (Credit/Debit Card Transaction & Strategy) within PNC's Technology organization, you will be based in Cleveland OH.
Official Job Title: Portfolio Analytics & Strategy Senior
Statistical Modeling, Python, R Language, SQL, other
Experience: Direct prior experience with or contribution to credit card or debit card authorization strategies, modeling/analysis or monitoring required. Prior experience at a large card issuer preferred.
Technical Skills: Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data Correlation and VisualizationPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
  • Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
  • Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
  • Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
  • Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Python (Programming Language), Quantitative Models, Risk Appetite, R Statistics, Statistics, Structured Query Language (SQL)CompetenciesAnalytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management BankingWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $86,250.00 - $143,750.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 07/19/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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