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 Quantitative Analytics & Model Analyst Senior within PNC's Data Operations and Machine Learning Operations organization, you will be based in Pittsburgh, PA; Cleveland, OH; or Tyson's Corner, VA. Position Overview: PNC is seeking a Quantitative Analytics & Model Analyst Senior to join our Data Operations and Machine Learning Operations (MLOps) team. This role is responsible for designing, engineering, deploying, and supporting scalable AI and machine learning solutions that enable advanced analytics across the enterprise. The successful candidate will combine expertise in system engineering, cloud infrastructure, DevOps, and machine learning operations to help transition analytical and machine learning solutions from development into production environments. This individual will partner closely with data scientists, technology teams, business stakeholders, and lines of business to ensure AI and ML solutions are reliable, scalable, secure, and operationally efficient. Key Responsibilities: • Build scalable frameworks and reusable components that support model development, integration, testing, deployment, and monitoring. • Collaborate with data scientists to operate analytical and machine learning solutions across production environments. • Support model lifecycle management, including deployment, testing, validation, performance monitoring, and ongoing optimization • Assist in managing model releases, version control, and deployment processes. • Partner with engineering teams to establish infrastructure standards for model deployment and operational support. • Support automation, orchestration, and infrastructure-as-code initiatives where applicable. • Troubleshoot deployment, integration, and operational issues across AI/ML ecosystems • Partner with business leaders, technology teams, data scientists, and other Lines of Business to understand requirements and deliver solutions. Required Qualifications: • Bachelor’s degree in computer science, Information Systems, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. • Design and engineer AI / ML solutions, including ML models, GenAI applications, and agentic AI capabilities that address complex data science and business use cases • Build scalable frameworks and reusable components for developing, integrating, testing, and deploying ML models and AI agents across the data science lifecycle • Develop, validate, and test container images in OpenShift Container Platform (OCP) to ensure AI / ML models, agentic solutions, and supporting components can be reliably packaged and deployed across environments • Experience supporting machine learning, analytics, software engineering, DevOps, or MLOps environments. • Experience deploying and supporting analytical or machine learning solutions in enterprise environments. • Programming/Coding experience in Python, R, or PySpark. • Working knowledge of SQL, including the ability to understand, review, and manipulate SQL code. • Experience with source control, CI/CD, and deployment tools, including Git, Jenkins, Docker, JIRA, or Confluence. • Experience with Cloud Platforms: AWS or Azure • Experience supporting code deployment and release management processes. • Understanding of machine learning workflows and model deployment concepts • Strong analytical and problem-solving skills. • Excellent communication and presentation skills • Ability to influence and collaborate across technical and business teams. • Experience working in highly collaborative, cross-functional environments • Strong stakeholder engagement and relationship management capabilities. Preferred Qualifications: • Banking, financial services, lending, or risk management experience. • Familiarity with model governance, model monitoring, and production support processes. • Understanding of data engineering and enterprise data ecosystems 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 Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses. Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models. Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics. Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model. Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates. 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, Quantitative Models, Risk Appetite Competencies Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing 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. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Language Assessments 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 09/17/2026, 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 AccommodationRequest pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say Workday for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Requirements

Must-haves

Position Overview
Build scalable frameworks and reusable components that support model development, integration, testing, deployment, and monitoring.
Collaborate with data scientists to operate analytical and machine learning solutions across production environments.
Support model lifecycle management, including deployment, testing, validation, performance monitoring, and ongoing optimization
Assist in managing model releases, version control, and deployment processes.
Partner with engineering teams to establish infrastructure standards for model deployment and operational support.
Support automation, orchestration, and infrastructure-as-code initiatives where applicable.
Troubleshoot deployment, integration, and operational issues across AI/ML ecosystems
Partner with business leaders, technology teams, data scientists, and other Lines of Business to understand requirements and deliver solutions.
Bachelor’s degree in computer science, Information Systems, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
Design and engineer AI / ML solutions, including ML models, GenAI applications, and agentic AI capabilities that address complex data science and business use cases
Build scalable frameworks and reusable components for developing, integrating, testing, and deploying ML models and AI agents across the data science lifecycle
Develop, validate, and test container images in OpenShift Container Platform (OCP) to ensure AI / ML models, agentic solutions, and supporting components can be reliably packaged and deployed across environments

Nice-to-haves

Banking, financial services, lending, or risk management experience.
Familiarity with model governance, model monitoring, and production support processes.
Understanding of data engineering and enterprise data ecosystems
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.
Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
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.
Preferred Skills Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite
No Required or Preferred Language Assessments

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonsqlci/cddockerjiraawsazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness