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 Data Science Manager Senior within PNC's AML Model Development organization, you will be based in Pittsburgh, PA, Cleveland, OH, Tysons, VA, Charlotte, NC or New York, NY. This position is primarily located 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 manager's discretion.

This position is responsible for developing, implementing, and maintaining of AML 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.

Preferred experience includes:

• 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
• PhD or Masters in a quantitative field

A strong applicant will have experience in:
• Relevant experience in at least one area of Banking/Financial Services / Consulting / Technology
• Experienced in 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)

PNC will NOT provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business.
• Recruits, trains, and develops best-in-class Data Scientists.
• Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination.
• Oversees relationship with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

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.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

• Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
• Live the Values - Role models our values with transparency and courage.
• Enable Change - Takes action to d