PNC - Quantitative Analytics Development Program application via RippleMatch

This role is with PNC. PNC uses RippleMatch to find top talent.

Locations:

• Washington, DC
• New York, NY
• Pittsburgh, PA
• Houston, TX

By joining one of PNC’s Development Programs, you can explore your potential through hands-on experience in a professional environment. This is an excellent opportunity to begin exploring your career goals, in addition to growing your skills in key areas. The goal of PNC’s Development Programs is to move analysts and associates from development roles into production roles in one of PNC’s lines of business. 

The Quantitative Analytics Development Program provides analysts the opportunity to gain exposure to various areas within PNC including the Retail Lending Analytics and Balance Sheet Analytics and Modeling organizations. Both areas consist of seasoned professionals that turn macro data sources into recommendations for making portfolio, capital allocation, and risk-based decisions. The Quantitative Analytics group has seen tremendous growth recently with PNC’s increased sophistication in modeling and analytics.  Analysts will gain exposure to and partner with leaders responsible for loss forecasting and aggregation for CCAR (Comprehensive Capital Analysis and Review). The Quantitative Analytics group acts as a trusted partner to PNC’s lending and credit functions to provide analytical foresight and insight to help make effective business decisions related to risk appetite, return, profitable growth, portfolio optimization and business strategies.  

During the 18 month long program, analysts will gain exposure to consumer and commercial analytics, portfolio management, different aspects of model development for all asset classes, credit process management, data management and policy and procedures through hands-on experiential learning. In addition, analysts will participate in an intensive learning curriculum, interact with senior management and partake in a robust mentorship program. Most of the learning will occur through hands-on projects undertaken in conjunction with seasoned professionals solving real life banking problems.

Upon successful completion of the program, analysts will be placed in a role that provides the opportunity to work in a number of analytics disciplines.

Opportunities in the Quantitative Analytics Development Program are in Pittsburgh, PA , New York City, NY, Houston, TX, and the Greater Washington D.C. areas. Learn more about PNC’s Development Programs on www.pnc.jobs/students.

Job Profile:

Participates as an analyst/associate in the line of business development program. 

• Performs or assists the core activities of the group by applying knowledge learned to drive business results (e.g. deal, sales, or process support, internal or external customer interaction, or supporting internal projects).  Works under supervision and may have limited approval and/or exception authority.
• Participates in social learning within the organization (e.g. identifies and networks with business representatives and peers, participates in mentoring, job shadowing and community outreach).
• Participates in formal learning (e.g. classroom, web-based, or virtual) and completes related activities and projects.
• Supports the internal and external customer experience by always providing excellent service; takes accountability and ensures problem resolution.

Required Education and Experience: 

• Preferred business relevant majors (e.g. Finance, Accounting, IT, Economics, Marketing, Math, Statistics, HR, Management, Communications, Business Law, Psychology, Logistics, Engineering, Computer Science, Actuarial Sciences), Minimum GPA 3.2.
• Roles at this level are filled by recent university / college graduates with little or no professional experience, but possessing relevant skills.  Includes individuals joining the organization through a corporate development/training program.

PNC provides equal 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.