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 Scientist within PNC's Enterprise Fraud Organization, you will be based in Pittsburgh, PA.

This position will own the fraud mitigation plan for early account monitoring. Specific duties include identifying and understanding fraud patterns, maintaining and proposing countermeasures, and presenting findings to leadership/managements. This position requires collaborating with partners in the line of business, the Enterprise Fraud Organization, Operations, Technology, Modeling, Legal, and other stakeholders. To be successful in this role, one must be comfortable working in a rapid pace environment due to the nature of the underlying work and potential loss that could be incurred.

Skillsets include statistical and analytical capabilities with preference given to modeling experience as well as SQL (Toad, Python, SAS, R) specific to Hadoop, Oracle, and Teradata and techniques specifically working with very large datasets. Fraud and/or financial crimes experience is strongly preferred.

Responsibilities include:
• Analyze data to identify and understand fraud patterns
• Work with stakeholders in PNC to balance fraud loss with client
experience and business growth
• Participate with industry groups and peers
• Collaborate with other EFO, security, technology, and product
partners on comprehensive solutions

Job Description

• Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
• Participates in the data gathering, data processing and data mining of large and complex datasets.
• Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
• May partner 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.

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