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Fraud Data Analyst Jobs (NOW HIRING)

The analyst will produce the requirements, screen mockups, and workflow documentation that the ... Define the fraud record data model -- required vs. optional fields, categories, statuses, severity ...

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

In this role, you'll work across domains including applications, accounts, transactions, fraud ... As an analyst at Cardless, you'll dive deep into data, identify opportunities, streamline ...

Data Analyst Req ID: 10158683 The Subscriber Lifecycle & Commerce Analytics team is looking for a ... Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud ...

The analyst will produce the requirements, screen mockups, and workflow documentation that the ... Define the fraud record data model -- required vs. optional fields, categories, statuses, severity ...

Data Analyst

San Francisco, CA · On-site +1

$130K - $200K/yr

In this role, you'll work across domains including applications, accounts, transactions, fraud ... As an analyst at Cardless, you'll dive deep into data, identify opportunities, streamline ...

Data Analyst Req ID: 10158683 The Subscriber Lifecycle & Commerce Analytics team is looking for a ... Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Position OverviewThe Data Analyst supports the development of dashboards, reports, data ... We reserve the right to take your picture to verify your identity and prevent fraud.If you require ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Position Overview The Data Analyst supports the development of dashboards, reports, data ... We reserve the right to take your picture to verify your identity and prevent fraud. If you require ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... our fraud data analytics and reporting efforts. * 8+ years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized ...

Strong experience with Python or R for data analysis, modeling, and automation. * Proficiency in ... Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a ...

Showing results 41-60

Fraud Data Analyst information

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$34K

$82.6K

$136K

How much do fraud data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for fraud data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a fraud data analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

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

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a typical day look like for a fraud data analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

More about Fraud Data Analyst jobs

What cities are hiring for Fraud Data Analyst jobs?

Cities with the most Fraud Data Analyst job openings:

Who are the top companies hiring for Fraud Data Analyst jobs?

The top employers for Fraud Data Analyst jobs are:

What states have the most Fraud Data Analyst jobs?

States with the most job openings for Fraud Data Analyst jobs include:

Infographic showing various Fraud Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

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

PNC

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 348 frontline employees who took The Breakroom Quiz

92nd of 175 rated banks


Job description


Job Profile
Position Overview At 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 [name of division] organization, you will be based in Columbus OH
Fraud Data Scientist (Card Transactions)-
Official Job Title: R203038 Portfolio Analytics & Strategy Specialist
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 Visualization 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 Models, 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 Banking Work 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. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Pay Transparency Base Salary: $91,000.00 – $169,000.00 Salaries 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 Window Generally, this opening is expected to be posted for two business days from 07/19/2026, although it may be longer with business discretion. Benefits PNC 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, visit pncthrive.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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