Quantitative Analytics Development Program Analyst​/Associate

** 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 Development Program Analyst/Associate within PNC's Data, Model & Analytics organization, you will be based in Pittsburgh, PA or Tysons, VA.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

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

** Job Description*
* 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's Balance Sheet Analytics and Modeling (BSAM) organization. BSAM consists 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 several analytics disciplines.

Opportunities in the Quantitative Analytics Development Program are in Pittsburgh, PA and Tysons, VA.

Learn more about PNC's Development Programs on (Use the "Apply for this Job" box below). () .

** 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., process support, internal 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 STEM or business majors (e.g. Analytics, Data Science, Mathematics, Statistics, Finance,…