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 Sr. within PNC's Asset Liability Management / Fraud & Consumer Modeling organization, you will be based in Pittsburgh, PA or other locations noted on the job posting.

　　The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion.

　　PNC will not provide sponsorship for this position.

　　This position is responsible for developing, implementing, and maintaining of Fraud / Models that support our retail and commercial businesses. This position requires experience and knowledge of: Financial Crimes; machine learning applications and their explainability; big data structuring and computation; and process optimization. You will work closely with our business partners across different lines of business (Retail, commercial, Technology, Security, and Enterprise Fraud); business process/model owners; and independent risk management, and audit. You will frequently be required to present your work to peers, senior PNC executives and regulators.

　　Requirements include:

　　• Solid experience in coding with Python/R-specifically, PySpark or other "big

　　data" applications.

　　• Excellent written and communication skills, both in technical and nontechnical

　　[communications]

　　• Problem solving skills and ad hoc analyses

　　• Ability to work under tight timelines

　　• Being a collaborative team player

　　• A self-starter with an innate curiosity for how/why things work

　　• A desire to learn and knowledge of continuous improvement/optimization

　　A strong applicant will have experience in:

　　• Relevant experience in at least one area of Banking/Financial Services /

　　Consulting / Technology

　　• Experienced in Fraud/Financial Crimes/Anti-money laundering detection and

　　prevention

　　• Experienced with Machine Learning models - deep learning, large language

　　models, and graph data base

　　• Model Development Lifecycle (development to validation to implementation to

　　production and repeat)

　　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.

　　Competencies

　　Bank Quantitative Analysis - Knowledge of and ability to use numerical methods to develop statistical models for devising trading strategies.

　　Consulting - Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations.

　　Data Gathering and Reporting - Knowledge of and ability to utilize tools, techniques and processes for gathering and reporting data in a particular department or division of a company.

　　Effective Communications - Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.

　　Predictive Analytics - Knowledge of, experience with and ability to use the tools, processes and practices for predicting business trends and providing forecasts that drive business decisions and business planning.

　　Quantitative Techniques - Knowledge of and ability to use quantitative tools and techniques to measure and analyze risks.

　　Regulatory Environment - Financial Services - Knowledge of and ability to help an organization adapt to applicable federal, state, local, and company-specific regulations, policies, and guidelines affecting business practices.

　　Testing - Knowledge of and ability to plan, implement and manage testing strategies, policies and practices that assure the delivery of high quality applications.

　　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

　　Additional Job Description

　　Benefits

　　PNC offers employees 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; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.

　　Disability Accommodations Statement:

　　If an accommodation is required to participate in the application process, please contact us via email at [email protected]. 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 select Option 4: Recruiting 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.

　　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.