Quantitative Analytics & Model Consultant Senior - 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 Consultant Senior within PNC's Data Model Analytics organization, you will be based in Pittsburgh, PA;
Philadelphia, PA;
Cleveland, OH;
Charlotte, NC;
Wilmington, DE; or Tysons Corner, VA.

As a Quantitative Analytics & Model Consultant Senior 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 lead 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.

• 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 and represent the modeling team in various forums to inform senior executives and team partners of progress on key modeling efforts
• Collaborate with 1st, 2nd and 3rd line of defenses and other key stakeholders
• Independently perform the most complex quantitative analyses and model development to support decision‑making by running quantitative strategies
• Develop new model frameworks by supporting the line of business, refine, monitor, and validate existing models, conduct ongoing communication with model owners and developers, and work with large data to create models
• Perform the most complex qualitative and quantitative assessments on all aspects of models, including theoretical aspects, model design and implementation, data quality and integrity; review reports and associated quantitative analysis; validate existing models and assess model risks
• Evaluate identified model risks and reach conclusions on strengths and limitations of the model
• Prepare and analyze detailed documents for validation and regulatory compliance using applicable templates

• Master’s degree or higher in a quantitative field
• Experience in developing GenAI solutions
• 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 product ionizing 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

• Master’s degree in Statistics, Mathematics, Engineering 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…