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Full Time Fraud Data Scientist Jobs (NOW HIRING)

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

... fraud trends using large datasets , applying statistical techniques, SQL, and/or data-science tools ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

Hands-on expertise with fraud detection tools and data signals , including device intelligence ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

This position collaborates across multiple business functions, including Decision Science ... Serve as fraud data analytics subject matter expert and advisor on related strategy, detection ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious ...

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Full Time Fraud Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do full time fraud data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for full time fraud data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a Full Time Fraud Data Scientist typically collaborate with other departments to develop effective fraud detection solutions?

A Full Time Fraud Data Scientist often works closely with teams such as engineering, product management, and fraud operations. Collaboration involves sharing insights from data analysis, discussing fraud patterns, and working together to design and implement detection algorithms. Regular cross-functional meetings are common, allowing data scientists to understand the needs of other teams and ensure that models are practical and aligned with business goals. This collaborative environment helps to rapidly identify emerging threats and continuously improve fraud prevention strategies.

What are the key skills and qualifications needed to thrive as a Full Time Fraud Data Scientist, and why are they important?

To thrive as a Full Time Fraud Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a relevant degree in fields like computer science, mathematics, or data science. Familiarity with programming languages such as Python or R, experience with big data platforms (e.g., Hadoop, Spark), and knowledge of fraud detection tools or frameworks are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills are crucial for identifying fraudulent activities accurately and efficiently, protecting organizations from financial losses and reputational damage.

What does a Full Time Fraud Data Scientist do?

A Full Time Fraud Data Scientist is responsible for analyzing large datasets to detect and prevent fraudulent activities within an organization. They use statistical models, machine learning algorithms, and data mining techniques to identify suspicious patterns and anomalies. Their work helps develop automated systems that flag or stop fraudulent transactions in real-time. Additionally, they collaborate with other teams such as cybersecurity, risk management, and compliance to ensure robust fraud detection and prevention strategies.
More about Full Time Fraud Data Scientist jobs
What cities are hiring for Full Time Fraud Data Scientist jobs? Cities with the most Full Time Fraud Data Scientist job openings:
What are the most commonly searched types of Fraud Data Scientist jobs? The most popular types of Fraud Data Scientist jobs are:
What states have the most Full Time Fraud Data Scientist jobs? States with the most job openings for Full Time Fraud Data Scientist jobs include:
Infographic showing various Full Time Fraud Data Scientist job openings in the United States as of June 2026, with employment types broken down into 7% Locum Tenens, 1% Internship, 4% As Needed, 11% Full Time, and 77% Part Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Fraud Data Scientist (Lending)

Fraud Data Scientist (Lending)

PNC Bank

Schenectady, NY • On-site

$55K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

73rd of 141 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 Portfolio Analytics & Strategy Analyst Senior - Fraud Risk Strategist (Lending) within PNC's Technology organization, you will be based in Pittsburgh PA; , Strongsville OH; Birmingham AL, or Dallas TX.
Title:
Portfolio Analytics & Strategy Analyst Senior- Fraud Risk Strategist (Lending)
Statistical Modeling, Python, R Language, SQL, other
Experience:
Prior experience or familiarity with (1) fraud strategy, analytics or mitigation and/or (2) consumer, real estate or commercial lending processes 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, StatisticsCompetenciesAnalytical 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: $55,000.00 - $113,000.00Salaries 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 10/10/2025, 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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