Quality Analyst Lead

PNC Bank•Pittsburgh, PA

2d•Onsite

About The Position

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 Quality Analyst Lead within PNC's Technology organization, you will be based in Pittsburgh, PA. A Fraud Quality Engineer in Fraud Engineering ensures Actimize-based fraud solutions (AIS, IFM, RCM) are reliable, accurate, and aligned to business and regulatory expectations by validating workflows, models, and data behavior in a highly regulated environment. 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.

Requirements

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience.
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
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.

Nice To Haves

Change Management
Corporate Governance
Data Analytics
Process Efficiencies
Process Improvements
Risk Assessments

Responsibilities

Ability to analyze Actimize workflows, rules, and model behavior across AIS and IFM to design effective test strategies, including functional, integration, and regression testing.
Strong skill in developing and executing test cases for RCM workflows, alerts, and case management processes, ensuring alignment to defined requirements and fraud scenarios.
Creating and maintaining traceability between requirements, Actimize objects (e.g., workflows, rules, models), test cases, and defects to ensure full validation coverage.
Ability to validate data ingestion, transformations, and outputs across Actimize pipelines, including file-based inputs, database tables, and alert generation.
Strong understanding of underlying RCM database structures to support validation of workflows, case states, and audit data.
Ensures accuracy of fraud detection logic by validating scenarios across multiple data conditions and edge cases.
Support for automation of testing activities, including execution of repeatable regression test suites for Actimize releases and configuration changes.
Strong focus on defect identification, triage, and root cause analysis, including validation of fixes across Actimize environments.
Collaboration with engineering teams to validate deployments (APK/SPK) and ensure no regression or unintended impact to existing fraud logic.
Ensures all testing activities align to regulatory, audit, and PNC governance expectations
Maintains detailed evidence of testing, including traceability to requirements, test execution results, and defect resolution.
Focus on completeness and control adherence, ensuring solutions align to approved scope, design standards, and fraud risk mitigation objectives.
Supports release validation activities, including environment shakeout testing, post-deployment validation, and production certification.
Partners with business analysts, engineers, and product teams to ensure shared understanding of Actimize requirements and expected outcomes.
Contributes to lessons learned, root cause analysis, and continuous improvement of testing practices across fraud engineering initiatives.
Coordinates and administers quality control program within a defined department of the organization.
Coordinates control plans, inspection systems, and action plans to achieve expected results.
Leads, mentors and develops team members to promote quality awareness and implement quality programs and initiatives.
Executes corrective actions and addresses non-conformances.
Facilitates or leads training on quality tools and skills.