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Fraud Analytics Jobs in Oklahoma (NOW HIRING)

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The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

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Fraud Analytics information

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$14

$28

$58

How much do fraud analytics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for fraud analytics in Oklahoma is $28.33, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $31.30 per hour, depending on experience, location, and employer.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

How does a fraud analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What are the key skills and qualifications needed to thrive as a fraud analytics professional, and why are they important?

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

How do I become a fraud analyst?

To become a fraud analyst, typically a bachelor's degree in finance, accounting, or a related field is required. Relevant skills include data analysis, knowledge of fraud detection tools, and familiarity with databases and reporting software; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience through internships or entry-level roles in finance or security is also beneficial.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.

What does a fraud analytics do?

A fraud analyst uses data analysis techniques to detect and prevent fraudulent activities within financial transactions or business operations. They analyze large datasets, identify patterns of suspicious behavior, and implement strategies to reduce fraud risk, often using tools like SQL, Excel, or specialized fraud detection software. Strong analytical skills and knowledge of fraud schemes are essential for this role.

What job categories do people searching Fraud Analytics jobs in Oklahoma look for?

The top searched job categories for Fraud Analytics jobs in Oklahoma are:

Infographic showing various Fraud Analytics job openings in Oklahoma as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $58,929 per year, or $28.3 per hour.

Portfolio Analytics & Strategy Specialist (Fraud Model Analyst)

Ponca City, OK • On-site, Remote


PNC Bank
Banking and Credit Intermediation • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

88th of 172 rated banks

Good employer

Recommended by students

Recommended by parents


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


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 Portfolio Analytics & Strategy Specialist (Fraud Model Analyst) within PNC's Technology organization, you will be based in Cleveland/Strongsville OH, Pittsburgh PA, Birmingham AL, Dallas TX, Phoenix AZ or Denver CO
Requirements:
Python, R Language, SQL, SAS nice to have
Statistical Modeling, Validation
Data Science, Statistics and Data Analytics
Graph Database experience
Data Correlation and Visualization
Job Description - Model Owner
Oversees the development, testing, and validation of quantitative models (machine learning and statistical) used for detecting and deterring fraud. Conducts robust and comprehensive model testing, model monitoring, defect resolution, and analysis in accordance with model development lifecycle standards.
Conducts ongoing communication and support for model users, including downstream model owners, and others who use the models for purposes of anti-money laundering, fraud detection and deterrence, and other uses.
Directs complex qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Confirms the reviews of complex reports including model documentation, model monitoring, QC findings, and model controls.
Leads in evaluating identified model risks, defects, and issues, and reaches conclusions on strengths and limitations of the model. Works toward resolution and enhancement related to model shortcomings.
Conducts ongoing communication with oversight, validation, risk management, internal audit, external audit, and regulatory compliance partners. This communication includes written responses to questions, formalized documentation of findings, and presentations to appropriate committees, working groups and other parties.
Provides leadership, direction, and oversight to model developers who support the ongoing maintenance, management, and validation of the models.
Provides coaching, training, direction, and best practices to the modeling team.
Can manage the work-sets of multiple model developers in remote locations, including offshore.
Solves business problems using a structured, analytically rigorous approach, and synthesize results for presentation to less technical audiences (model users and senior management)
Solid understanding of probability, linear algebra and statistical modeling
Proficiency with R or Python, and Hadoop, is required.
Proficiency in SQL and working with large datasets is required.
Proficiency with Trillium and/or Tableau is desirable but not required.
Knowledge of data management is desired but not required.PNC 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, Statistical Analysis, 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 5+ years of industry-relevant experience. Specific certifications are often required. 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: $91,000.00 - $169,000.00Salaries 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 08/07/2026, 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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