PNC Data Science Manager Senior - AML Model Development 

United States, Pennsylvania, Pittsburgh 

415571694

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 fieldA 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• Model Development Lifecycle (development to validation to implementation to production and
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 drive change and innovation that will transform our business.
• Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
• Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and requiredneeded to be successful in this position.

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningData Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.No Required Certification(s)No Required License(s)
California Residents

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