Quantitative Analytics & Model Analyst Senior - C&IB - Commercial

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 Model Analytics organization, you will be based in Pittsburgh or Philadelphia, PA; Cleveland, OH; or Tyson's Corner, VA. Key Responsibilities Develop, implement, and maintain quantitative and machine learning models for analytics and decision support. Apply statistical and mathematical techniques, including logistic and linear regression, to solve business problems. Perform data analysis, feature engineering, model training, testing, and validation. Use Python to write clean, efficient, and well documented code for modeling and analysis. Evaluate model performance using appropriate metrics and ensure robustness and accuracy. Prepare presentations and written documentation to clearly communicate model methodology, results, and insights to technical and non technical audiences. Collaborate with cross functional partners to understand requirements and translate them into analytical solutions. Support model lifecycle activities, including enhancements, recalibration, and monitoring. Required Experience & Skills 2-3+ years of professional experience in quantitative analytics, modeling, or a related role. Strong Python programming and coding skills. Solid foundation in mathematics and statistics. Hands on experience with logistic regression and linear regression. Experience applying machine learning techniques. Proven experience developing and implementing models end to end. Ability to build or demonstrate a portfolio of modeling or analytical work. Bachelor's degree in mathematics, Statistics, Quantitative Analytics, or a related quantitative field. Strong presentation, communication, and documentation skills, with the ability to explain complex concepts clearly. Preferred Experience & Skills Experience with PySpark or working in distributed data environments. Banking or financial services experience. Knowledge of credit risk or portfolio metrics such as PD (Probability of Default), LGD (Loss Given Default), and EAD/ED (Exposure at Default). 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 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. 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) 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 04/29/2026, although it may be longer with business discretion. Benefits 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 Paid Time Off 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 Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at View email address on click.appcast.io. 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 View phone number on click.appcast.io 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. 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. #J-18808-Ljbffr Fairygodboss