Portfolio Analytics & Strategy Analyst Sr

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 Portfolio Analytics & Strategy Analyst Sr within PNC's Finance organization, you will be based in Cleveland, OH, Pittsburgh, PA or Dallas, TX. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Position Summary We are seeking a Portfolio Analytics & Strategy Analyst Sr to lead the identification, definition and delivery of data requirements. This role partners with business and technology stakeholders to source or develop data assets, address data quality issues, and ensure data is provisioned, documented and delivered in alignment with business requirements and established standards. Key Responsibilities • Partner with modeling, business, technology, and data consumer teams to translate data requirements into provisioning solutions. • Develop, test, and document prototype logic for new data attributes and data remediation solutions, including expected results to support technology implementation and validation. • Collaborate with technology teams to implement enhancements, resolve data issues, and support production deployments. • Document data lineage, business rules, and mapping specifications. • Manage Jira work items and perform data validation, reconciliation, and quality assessments to ensure accuracy, completeness, and consistency. • Identify opportunities to automate processes and improve operational efficiency. • Participate in testing and validation activities to ensure data solutions meet business and technical requirements. 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. Qualifications Successful candidates must demonstrate the knowledge, skills, and abilities required for the role, including relevant experience, education, and technical expertise. Preferred Skills • Jira, SQL, Teradata, Hadoop, Python, Pandas, and PySpark. • Experience with Power Apps, Power Automate, Power BI, and AI agent development is a plus. Competencies • Data Governance, Data Quality Management, Data Sourcing and Provisioning, Data Validation and Reconciliation, Requirements Analysis, Root Cause Analysis, Risk Management, Stakeholder Management, Technical Documentation • Analytical Thinking, Business Acumen, Business Analytics, Consulting, Data Analysis, Decision Making and Critical Thinking, Effective Communications, Process Improvement, Strategic Thinking Work Experience • Roles 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. • Experience provisioning data for risk, finance, CECL, stress testing, regulatory reporting, or portfolio analytics. • Strong SQL skills and experience validating and reconciling large datasets. • Experience working with enterprise data warehouses and distributed data environments. • Ability to translate business requirements into scalable data solutions. • Experience partnering with business and technology teams throughout the data lifecycle. Education Bachelor's Degree Certifications No Required Certification(s) 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 asse