Quantitative Analytics & Model Development Analyst - Data Model Analytics

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 Development Analyst within PNC's Balance Sheet Analytics & Modeling organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Charlotte, NC or Tysons Corner, VA. Anti‑Money Laundering Analytics & Modeling As a Quantitative Analytics & Model Development Analyst within PNC's Anti‑Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm’s account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models. Job Responsibilities Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation Experience in developing GenAI solutions Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders Preferred Skills and Experience Master's degree or higher in a quantitative field Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms Strong programming skills in Python, PySpark, R, and/or SQL Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc. Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model Critical thinking and problem‑solving aptitude with the ability to apply analytical rigor to complex business problems Ability to present complex technical concepts clearly and effectively to non‑technical stakeholders and business partners Ability to manage multiple projects simultaneously Strong teamwork skills and ability to work across different departments Additional Preferred Qualifications Master’s degree in Statistics or Econometrics Experience in banking/ financial services Experience with anti‑fraud and/or anti‑money laundering modeling Hands‑on experience building various types of AI/ML models, including neural networks Experience with cloud platforms like AWS, Google Cloud, or Azure 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. Provides ongoing communication with model owners and 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. Analyses 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) Pay Transparency Base Salary: $55,000.00 – $121,000.00. 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 03/19/2026, 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; backup 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. 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. 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. #J-18808-Ljbffr PNC Financial Services Group, Inc.