About the Role
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. As a Portfolio Analytics & Strategy Analyst Senior within PNC's Data, Modeling & Analytics Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Cleveland, OH, East Brunswick, NJ, Wilmington, DE, Chicago, IL or Tysons Corner or Vienna, VA.
Responsibilities
•Lead analytics and execution support for direct marketing campaigns across Unsecured Installment Loans (UIL) and other consumer lending products.
•Develop audience targeting strategies and optimize campaign performance using customer data and models.
•Design and evaluate marketing tests, including A/B testing and champion/challenger strategies, to identify opportunities for improved customer growth.
•Analyze campaign results and provide actionable recommendations to Marketing and Business stakeholders.
•Translate complex analytical findings into clear, concise insights and recommendations for senior leadership.
•Partner with cross-functional teams to support campaign execution, measurement, reporting, and marketing enhancements.
•Create and maintain performance dashboards, campaign reporting frameworks, and data definitions to support informed business decisions.
•Provide financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes.
•Run complex business performance, risk and operational analytics, which may include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
•Leverage business/product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions.
•Synthesize analytical results and develop, recommend, and implement business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance.
•Establish baselines for strategies and track actual performance to expectations.
•Apply 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.
•Manage engagements with internal and external information suppliers, ensuring the solution is fit for purpose while maintaining appropriate governance and oversight.
•Work with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies.
•Design/enhance standard reporting suites for regular product/portfolio reviews.
•Collaborate with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.
Requirements
•Banking and Lending product knowledge.
•Intermediate to Advanced Proficiency in Python and Excel.
•Experience building reports, dashboards, and visualizations in Tableau.
•Strong analytical, problem-solving, and stakeholder management capabilities.
•Excellent verbal and written communication skills.
•PNC is an in-office company; candidates are encouraged to connect with their recruiter and hiring manager to understand workplace expectations.
•PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
•Customer-focused: knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions.
•Managing risk: able to assess and effectively manage all of the risks associated with business objectives and activities, adhering to and supporting PNC's Enterprise Risk Management Framework.
•Skills and competencies: Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite, 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.
•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.
•Education: Bachelor's degree.
•No required certifications or licenses.
•No required or preferred language assessments.
Pay Transparency
Base Salary: $86,250.00 – $172,500.00. 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 09/15/2026, 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.
