Analyst

• Closes varied and more complex loans without supervision and disburses loan funds
• Prepares and/or reviews all loan documents for completeness and accuracy
• Independently weighs financial risks
• Reviews complex loan-closing documentation based on approval documentation
• Responsible for sharing best practices with team members and recommending process improvements
• Represents department on projects and initiatives
• Participates on deal team with negotiations of legal documentation
• Reviews and validates due diligence associated with project or transaction
• Partners with internal and/or external business partners to route communications, documents or other action items to complete transactions
• Identifies and may address exceptions; escalates appropriately
• Interacts with customers and/or have assigned accounts or portfolios

Senior Loan Closing Analyst – Commercial

Engineering Manager

• Act as Senior Software/Data Manager to drive ML Ops initiatives in the Bank.
• Define and execute the enterprise MLOps roadmap, selecting and integrating cutting-edge tools for feature stores, model training, deployment, and monitoring.
• Partner directly with data science and application development teams to understand their challenges and provide elegant, scalable MLOps solutions.
• Establish and enforce best practices for model management, versioning, and security, ensuring our ML platform is both powerful and compliant.
• Provide technical guidance to onshore and offshore development teams, fostering a culture of excellence in MLOps.
• Stay ahead of the curve by evaluating new technologies (e.g., AWS SageMaker, MLflow, Kubernetes) and incorporating them into our tech stack to maintain a competitive edge.
• Manage a group of software engineers/managers across multiple product lines.
• Oversee the talent management of engineering talent, including recruiting, mentoring, and enabling a culture of learning with a focus on engineering craftsmanship.
• Foster technological innovation, ensuring adoption of current trends, capabilities, and practices emerging in the market.

Senior Software Engineering Manager – Data and Automation, Machine Learning Operations

Consultant

• Develop, enhance, and maintain loss forecasting models for Commercial Real Estate portfolios, including PD/LGD and expected loss models
• Perform predictive modeling and machine learning/statistical modeling to assess risk drivers, portfolio behavior, and loss outcomes
• Analyze large and complex datasets using Python and PySpark in distributed computing environments
• Design, implement, test, and monitor models in accordance with model risk management and governance standards
• Produce high quality model documentation, including methodology, assumptions, limitations, and performance analysis
• Partner with Commercial Real Estate, Credit Risk, Finance, and Risk Management stakeholders to translate business needs into quantitative solutions
• Support regulatory reviews, audits, and model validation activities
• Present analytical findings and model results to senior leadership, risk committees, and non technical stakeholders
• Contribute to analytics process improvement, automation, and scalability initiatives
• Explore and apply Generative AI (GenAI) or advanced analytics techniques where appropriate to enhance model development and efficiency

Senior Quantitative Analytics & Model Consultant – C&IB Commercial Real Estate

Account Manager

• Coordinates relationship management activities with new and/or existing clients in a book of business to grow sales, revenue and market share
• Works within stated guidelines to acquire and/or expand and retain client relationships to generate revenue and deepen share of wallet
• Handles the origination, financial analysis, negotiation and documentation of credit and non-credit products and services
• Actively identifies and mitigates different types of risk, such as regulatory, reputational, operational and credit risks
• Focuses on increasing client engagement and loyalty
• Manages effective network of internal and external relationships, such as community or industry relationships, to actively acquire new clients and/or expand existing clients and enhance the client experience
• Demonstrates ability to analyze, evaluate and mitigate credit risk for more complex credit requests by utilizing knowledge of advanced credit fundamentals and internal credit policies

Relationship Manager II – C&IB

• Performs complex qualitative and quantitative analysis of property operations such as credit facilities, crossed pools and cost recoup analyses to determine the viability of a proposed loan.
• Analyzes and understands financial statements and other documents to evaluate the risk profile of more complex transactions, which could include institutional ownership structures and site-specific matters.
• Conducts more in-debth analysis and structuring process for complex individual properties or a portfolio.
• Develops narrative for submission to Credit and agencies with qualitative and quantitative analysis at a more senior level, including the structure of the transaction, sponsorship behind the deal, financial statements, real estate schedules, expense statements, market information, creditworthiness and any deviations from underwriting guidelines
• Drafts, reviews and analyzes complex term sheets and applications for potential transactions.

Senior Production Analyst – LIHTC/Tax Credit

Data Scientist

• This Data Science Manager Senior role focuses on delivering decision ready insight through Descriptive (“what happened?”) and Diagnostic (“why did it happen?”) Analytics, with concrete outputs such as executive dashboards, KPI frameworks, trend and cohort analyses, drill downs, segmentation, driver analysis, and root cause investigations.
• The role is accountable for translating complex data into clear performance narratives by defining standardized metrics, ensuring data quality and lineage, and embedding analyses into scalable BI assets rather than ad hoc reporting.
• As needed, the role performs Prescriptive Analytics (“what should we do?”) by turning findings into decision recommendations through scenario analysis, sensitivity testing, and practical optimization or decision models, and by operationalizing insights into dashboards, alerts, and playbooks.
• Predictive Analytics (“what will happen?”) is in scope but not required, with forecasting, risk or propensity scoring, and applied machine learning viewed as nice to have capabilities.
• The manager leads and prioritizes an analytics roadmap, coaches analysts and data scientists, and promotes disciplined use of tools such as SQL, Python, modern BI platforms, cloud data technologies, Git, and applied statistics.
• Strong partnership with product, operations, risk, and business leaders is essential to frame the right questions and deliver executive ready storytelling that connects analysis to action.
• The role enforces data governance, documentation, and audit ready practices, ensuring metric consistency and trusted reporting across teams.
• An experiment and measurement mindset is expected, applying test and learn or A/B testing to evaluate impact. Any models or advanced techniques used are monitored for performance, reliability, and fairness, with assumptions and limitations communicated transparently.

Senior Data Science Manager – Data, Modeling & Analytics

• Support Treasury Management Sales Officers
• Data Analytics
• Support pricing of new sales opportunities
• Assist Treasury Management Officer with client presentations
• Client-facing role with presentations and reviews
• Provide sales/service support to select clients in the absence of Treasury Management Officer
• Responsible for thought leadership development, identifying client/industry trends and opportunities to deepen customer relationships
• Analyze, assess and document client requirements
• Forecast and track key account metrics
• Work with in-house counsel and clients on contract negotiations

Account Manager I – Treasury Management

Sales

• Manages and directs a team to achieve business results and customer experience goals.
• May have direct sales and client responsibilities.
• Oversees the execution of strategy.
• Leads and coordinates the daily activities of team members engaged in customer and/or prospect management activities.
• Achieves business results, attracts new customers and/or grows existing customer relationships by coaching and managing to defined strategies and tactics.
• Develops and oversees the execution of account and sales plans.
• Manages risk/return and drives quality for new and/or existing clients.
• Actively identifies and mitigates different types of risk, such as regulatory, reputational, operational and credit risks.
• Manages effective network of senior internal and external relationships, such as community or industry relationships, to actively acquire new clients and/or expand existing clients and enhance the client experience.
• Focuses on bringing the full range of PNC's products and services to the client.
• Leverages reporting and sales tools to proactively identify and successfully convert sales opportunities.
• Develops team members while monitoring progress against individual goals.
• Motivates and develops staff, including acquiring top talent and managing performance-based issues.
• Effectively plans, organizes, directs, analyzes and evaluates staff and processes.
• Connects strategy to day-to-day activities and updates the team on a regular basis.
• Coaches team members on skills needed to analyze, evaluate and mitigate credit risk and to lead others on credit requests by utilizing advanced knowledge of credit fundamentals and internal credit policies.

Sales Leader I – C&IB, LIHTC

• Executes funds transfers of multiple types and varying complexity using multiple processing platforms under general supervision.
• Initiates a subset of manual transactions, resolves routine exceptions, and/or provides secondary approval of initiated/repaired transactions.
• Performs high-level financial reconciliation of processed transactions.
• Performs initial investigation of reconciliation exceptions.
• Monitors live transactions within multiple processing applications, follows standard policies and procedures to address exceptions.
• Escalates appropriately when faced with an unresolved exception or impactful issue.
• Ensures compliance with the control framework.
• Identifies and reports potential conflicts with relevant regulations to the appropriate parties.
• Participation in basic change management activities upon request (e.g. executing basic operational regression user testing scripts).

Treasury/Funds Transfer Analyst

Product Manager

• Partner with cross functional stakeholders (Business, Legal, Risk, Compliance, Tech, Design, etc.) to define Customer Engagement target state strategy, customer and employee experiences, and actionable roadmap
• Develop, communicate and socialize the Customer Engagement roadmap with partners and Senior Leadership; maintain a prioritized, data-driven backlog
• Build, develop and champion a growing team of product managers, ensuring proper implementation of agile ceremonies and practices across the product development lifecycle
• Leverage market insights, competitive intel and data to identify customer needs and opportunity; Partner with Business Stakeholders to develop and implement OKRs, utilize data and analytics to measure progress
• Work closely with technology to understand and influence end to end architecture, data flows and technology solutions to enable Product Vision
• Work across PNC Enterprise to identify and implement capabilities and best practices that can be leveraged by Retail Lending

Digital Product Management Group Manager – Customer Engagement

• 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
• Develops analytical methods/models to assess market, credit and/or operational risk of new and existing financial products
• Analyzes large datasets to improve risk adjusted returns, deliver profitable growth, and communicate conclusions
• Synthesizes analytical results to develop strategies that improve lending decisions and manage risk
• Applies predictive models and other tools to develop and execute appropriate segmentation and targeting for acquisition
• Works with business, credit, data, and model development partners to design and monitor test designs and analytical reporting

Fraud Data Scientist – Card Transactions

• Manage a large book of business (400+ clients) in the $2-10MM segment
• Significant outbound calling and identifying business needs
• Drive new opportunities within assigned relationships
• Analyze business tax returns and structure small business loans
• Collaborate with Virtual RM team to share best practices
• Leverage knowledge of industry and market to prioritize efforts
• Manage origination, financial analysis, negotiation, and documentation of credit and non-credit products
• Proactively identify and successfully convert sales opportunities
• Effectively manage risk/return in accordance with PNC's risk profile

Relationship Manager – Virtual Business Banking

Recruitment

• Leads and executes the entire hiring cycle, including sourcing, interviewing, making offers, etc.
• Records, interprets and distributes standard recruiting data sets in all phases of the recruiting process.
• Identifies trends in the data, infers insights to relevant business partners and incorporates workforce data into recruiting strategies.
• Serves as talent acquisition subject matter expert in a larger human resources and business eco system.
• Manages the relationships, contracts and utilization of recruiting agency partners.
• Consults with business partners and candidates on the hiring process.
• Consults hiring managers and business executives on complex talent needs, gaps, and skills.
• Manages stakeholder relationships and partners on key decisions.
• Demonstrates technical savvy interacting with varying combinations of Talent Acquisition tools.

Executive Recruiter

Backend Engineer

• Creates and leads the technical design and development of software solutions.
• Proposes & designs software solutions to address complex business needs.
• Prepares technical and procedural documentation required.
• Facilitates complex problem resolution.
• Provides technical guidance and support to colleagues.
• Reviews coding, testing, and documentation of software.
• Applies modern principles, methodologies and tools to advance business initiatives and capabilities.

Lead Software Engineer – Java/Microservices

Security Analyst

• Evaluate, respond, and mitigate alerts that originate from the SIEM and the Cyber security product suite
• Assist with tuning the SIEM events to reduce the false positives
• Extract the IOCs and behavioral characteristics of malicious samples and implement the proper mitigation (Sandboxing)
• Demonstrate the ability to scope an event to ensure the proper remediation steps
• Perform operational support for the institution as a representative of the security organization
• Conduct security assessments and other information security routines consistently