Quantitative Analytics & Model Development Expert - Balance Sheet Analytics at PNC

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

254150.0

Posted On

29 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analysis, Model Development, Machine Learning, Statistical Techniques, Data Mining, Data Preparation, Programming Skills, Big Data Technologies, Critical Thinking, Problem Solving, Teamwork, Communication, Risk Management, Anti-Money Laundering, Financial Services, Cloud Platforms

Industry

Financial Services

Description

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 Expert within PNC's Balance Sheet Analytics & Modeling organization, you will sit in Pittsburgh or Philadelphia, PA, Cleveland, OH, Charlotte, NC, Wilmington, DE, New York City, Tysons, VA, Dallas or Houston, TX. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. As a Quantitative Analytics & Model Development Expert 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 Anti-Money Laundering 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. Specific responsibilities for this role include (but are not limited to): • 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 • 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 experience/qualifications: • Master’s or PhD degree in Statistics or Econometrics • 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, SAS, 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 • Proven ability to lead and mentor other data scientists • Ability to manage multiple projects simultaneously • Strong teamwork skills and ability to work across different departments Additional preferred qualifications: • Experience in banking/ financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands-on experience building various types of AI/Machine Learning models, including neural networks • Experience with cloud platforms like AWS, Google Cloud, or Azure PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Provides strategic and analytical insights around quantitative analyses, processes, and validations. Reviews complex quantitative analyses and models and engages with the Line of Business to enhance model development by incorporating business feedback. Oversees the development of new model frameworks by supporting the line of business and provides consultative feedback around improvements. Reviews any recommended changes to existing models. Conducts executive level communication during the course of the review. 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 and provides analytical insight into potential areas of improvement. Reviews validation of existing models and assesses model risks. Reviews the evaluations of identified model risks and provides high level consultation around recommended conclusions on strengths and limitations of the model. Provides consultative feedback around the preparation and analysis of regulatory compliance documents. 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, or PhD is desirable. Industry experience is typically 8 + years. Specific certifications are often required. 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: $100,000.00 – $254,150.00 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 09/22/2025, 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; 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; 8 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 Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. 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 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.

Responsibilities

The role involves utilizing statistical techniques to build models for detecting and monitoring account activity patterns. You will collaborate with stakeholders to identify risk indicators and recommend improvements to existing strategies.