Quantitative Analytics & Model Consultant Senior - Retail Banking (ML & Predictive modeling)

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 Consultant Senior within PNC's Retail Banking (ML & Predictive modeling) organization, you will be based in Pittsburgh, PA; Cleveland, OH; Tyson's Corner, VA; Washington, DC; or East Brunswick, NJ. Job Summary: PNC is seeking a highly skilled Quantitative Analytics & Model Consultant Senior to join the Retail Banking (ML & Predictive modeling) team. This role focuses on the development, validation, implementation, and enhancement of advanced machine learning, predictive analytics, and quantitative modeling solutions that support strategic business objectives across deposits, transactions, wealth management, customer segmentation, and retail banking initiatives. The successful candidate will leverage large-scale data assets, cloud-based technologies, and advanced analytical techniques to build and optimize predictive models, conduct experimentation, simulate business scenarios, and deliver actionable insights to stakeholders at all levels of the organization. This individual will collaborate closely with cross-functional teams while communicating complex analytical findings to technical, business, and executive audiences. Required Qualifications: • Bachelor's Degree and 8+ years of quantitative analytics, predictive modeling, machine learning, data science, or related experience, Master's Degree and 6+ years of relevant experience, or PhD and 3+ years of relevant experience. • Advanced programming experience with Python and PySpark. • Strong hands-on experience developing and deploying machine learning and predictive modeling solutions. • Experience working with cloud computing environments, including AWS, Microsoft Azure, or Google Cloud Platform (GCP). • Advanced SQL expertise including Complex Joins, Aggregations, Subqueries, Data transformation and manipulation, and Query optimization • Experience working with large-scale datasets and big data environments. • Strong analytical, quantitative, and problem-solving skills. • Proven ability to communicate technical concepts to both technical and non-technical audiences. • Experience collaborating across multiple business functions and stakeholder groups. • Demonstrated ability to influence decision-making through data-driven insights. Preferred Qualifications: • Banking or financial services industry experience. • Prior experience supporting one or more of the following: Exposure at Default (EAD), Probability of Default (PD), Loss Given Default (LGD), Current Expected Credit Loss (CECL). • Stress Testing other risk modeling and regulatory frameworks • Experience supporting retail banking products, including deposits, transactions, customer segmentation, or wealth management. • Familiarity with model risk management and regulatory expectations within the banking industry. 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 the most complex quantitative analyses and models development to support decision-making by running quantitative strategies. • Develops new model frameworks by supporting the line of business. Refines, monitors, and validates existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models. • Performs the most complex qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Reviews reports and associated quantitative analysis. Validates existing models and assesses model risks. • Evaluates identified 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. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable com