Portfolio Analytics & Strategy Specialist (Card Fraud Strategy)

PNC; Columbus (OH); On-site; USD 91,000 - 169,000; Full time

Benefits offered by this job

Medical & dental coverage

401(k) with match

Paid time off

Job summary

PNC is seeking a Fraud Data Scientist (Credit/Debit Card Transaction & Strategy) to join our Enterprise Fraud team. Based in multiple U.S.

locations, you will develop and optimize fraud prevention strategies, analyze large datasets, and partner with product, technology, and risk teams to drive enterprise-wide solutions. As a senior team member, you will mentor junior analysts, translate complex analytics into actionable insights, and present performance results to senior leadership.

Qualifications

• 5+ years of experience in Data Science, Analytics, or Fraud Analytics.
• 1+ year of experience supporting Credit/Debit Card fraud analytics or risk management.
• Strong programming experience with Python; SQL proficiency; Spark experience a plus.

Responsibilities

• Lead analytical initiatives for Credit & Debit Card fraud prevention and mitigation.
• Analyze large datasets to identify fraud patterns and emerging threats.
• Develop data-driven recommendations balancing fraud loss with customer experience and growth.
• Present findings and strategies to management and senior leadership.

Skills

Python

SQL

Spark

Power BI

Graph analysis

Education

Bachelor's

Tools

Apache Spark

R

Job description

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 Enterprise Fraud organization, you can be based in Birmingham, AL; Phoenix, AZ; Lakewood, CO; Strongsville, OH; Columbus, OH; Philadelphia, PA; Pittsburgh, PA; Dallas, TX.

R202728

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 Enterprise Fraud organization, you can be based in Birmingham, AL; Phoenix, AZ; Lakewood, CO; Strongsville, OH; Columbus, OH; Philadelphia, PA; Pittsburgh, PA; Dallas, TX.

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

We are seeking a Portfolio Analytics & Strategy Specialist to join our Fraud Strategy & Analytics team, supporting both Credit Card and Debit Card fraud mitigation initiatives.

As a senior member of the team, you will play a key role in developing and optimizing fraud prevention strategies that balance fraud loss reduction, customer experience, and business growth. You will analyze large and complex datasets, identify emerging fraud trends, recommend strategic countermeasures, and partner closely with cross-functional stakeholders across Product, Technology, Operations, Modeling, and Fraud Risk teams.

Core Responsibilities

• Lead complex analytical initiatives focused on Credit Card and Debit Card fraud prevention and fraud mitigation strategies.
• Analyze large volumes of structured and unstructured data to identify fraud patterns, emerging threats, behavioral trends, and opportunities for optimization.
• Develop data-driven recommendations that balance fraud loss prevention with customer experience and business growth objectives.
• Design, evaluate, and optimize fraud rules, detection strategies, and monitor frameworks.
• Apply statistical modeling, predictive analytics, data mining, and advanced analytical techniques to support fraud decisioning and risk management efforts.
• Perform graph analysis, linkage analysis, data correlation, and visualization to uncover fraud networks and relationships.
• Collaborate with partners across Fraud, Operations, Technology, Product, Modeling, Legal, and other business functions to drive enterprise-wide solutions.
• Present findings, strategy recommendations, and performance results to management and senior leadership audiences.
• Translate complex analytical findings into actionable business insights for both technical and non-technical stakeholders.
• Support strategic initiatives by evaluating the downstream impact of fraud strategy changes on customers, operations, and business outcomes.
• Act as a senior team member and technical mentor, providing guidance and support to junior analysts.
• Participate in the development and enhancement of analytical frameworks, reporting methodologies, and fraud monitoring capabilities.
• Work in a fast-paced environment where timely analysis and decision-making directly impact business performance and fraud exposure.

Preferred Skills & Experience

• 5+ years of experience in Data Science, Business Analytics, Data Analytics, Fraud Analytics, Risk Analytics, Decision Science, or a related analytical field.
• 1+ year of experience supporting Credit Card or Debit Card fraud analytics, fraud strategy, or fraud risk management.
• Strong programming experience with Python for analytics, statistical analysis, predictive modeling, and data processing; experience with R is a plus.
• Advanced proficiency with SQL for querying, analyzing, and manipulating large datasets.
• Experience working with large-scale datasets and complex analytical environments.
• Strong background in statistical modeling, predictive analytics, data mining, and quantitative analysis.
• Experience leveraging Apache Spark for large-scale data processing and analytics.
• Knowledge of optimization frameworks and analytical techniques used to improve business outcomes.
• Experience with graph analysis, linkage analysis, network analysis, or entity relationship analysis.
• Strong data visualization and storytelling capabilities utilizing tools such as Microsoft Power BI or similar visualization platforms.
• Demonstrated ability to present analytical findings, recommendations, and business impacts to managers, directors, and senior leaders.
• Experience mentoring or providing technical guidance to junior analysts.
• Experience contributing to authorization strategy, fraud detection strategy, fraud monitoring, or fraud loss mitigation programs.
• Background working with Credit Card or Debit Card issuers, Consumer Banking organizations, Credit Unions, Payment companies, or Financial Services institutions.
• Experience partnering with external fraud vendors and third-party solution providers.
• Familiarity with card transaction ecosystems, payment processing, and fraud prevention technologies.
• Prior experience within large-scale card issuer environments such as national banks, card services organizations, or enterprise fraud organizations.

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 Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Python (Programming Language), Quantitative Models, Risk Appetite, Statistical Models, Structured Query Language (SQL)

Competencies

Analytical 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 Experience

Roles 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.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Language Assessments

No Required Or Preferred Language Assessments

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 [e-mail]. Please include “accommodation request” in the subject line title and be sure to include your name, the job