Quantitative Analytics & Model Analyst Senior Data Operations and Machine Learning Operations

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 companys success. As a Quantitative Analytics & Model Analyst Senior within PNCs Data Operations and Machine Learning Operations organization you will be based in Pittsburgh PA; Cleveland OH; or Tysons 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:

Bachelors 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.

• 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 PNCs Enterprise Risk Management Framework.

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.

Analytical Thinking Credit Risks Data Analytics Financial Analysis Model Development Operational Risks Quantitative Models Risk Appetite

Bank Quantitative Analysis Consulting Data Gathering and Reporting Effective Communications Predictive Analytics Quantitative Techniques Regulatory Environment - Financial Services Testing

Roles at this level typically require a university / college degree with 3 years of relevant / direct industry experience. Certifications are often lieu of a degree a comparable combination of education job specific certification(s) and experience (including military service) may be considered.

Bachelors

No Required Certification(s)

No Required License(s)

No Required or Preferred Language Assessments

Base Salary: $86250.00 $172500.00

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.

Generally this opening is expected to be posted for two business days from 09/17/2026 although it may be longer with business discretion.

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.

If an accommodation is required to participate in the application process please contact us via email at . 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 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.

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.

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.