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During the Quantitative Analytics Development Program, associates will gain exposure to consumer and commercial analytics, portfolio management, different aspects of model development for all asset classes, data management, as well as the product life-cycle through hands-on experiential learning.
Associates will have the opportunity to experience the following activities: Portfolio Management and Analysis and Model Development.
What to Expect During the Program
Associates will experience three diverse rotations across APM spanning the Portfolio Analyst and Model Development functions as well as exposure to the Project Management lifecycle.
Across all rotations, associates will have the opportunity to utilize and learn emerging technologies including: Hadoop, Python, and R.
Portfolio Analyst rotations: associates will help generate portfolio reviews of the current risks and opportunities for asset classes within all lending lines of business. This may involve recommendations on product profitability and pricing or risk identification.
Model Development rotations: associates will help build, modify and evaluate the risk of models to help predict future behavior of loan and deposit portfolios.
During each rotation, associates have multiple opportunities to be evaluated to encourage continued learning and development with an emphasis on credit, banking industry knowledge, as well as communication/presentation training.
What a Typical Day Looks Like
Rotational work will vary from team and function, yet every day is spent supporting key initiatives and work-streams across the Analytics function at PNC.
Associates in the Portfolio Analyst function have worked to analyze specific Credit Portfolios, such as healthcare, to determine profitability, risk, and growth opportunities. Others have worked to support teams by creating Decision Trees and assisting in selecting the variables for input. Rotational work within the Model Development function has included replicating existing auto economic profit models and implementing the model in SAS.
In addition, associates have used code to construct data sets from mortgage data and other asset classes in order to enable further analytics.
Upon the successful completion of PNC’s Quantitative Analytics Development Program, associates are placed within the Asset & Portfolio Management organization into a Portfolio Analyst or Model Developer role that aligns to the associate’s skill development, long-term career interests and open positions.
Note: Unique needs of the business may present opportunities to explore other areas where PNC is present, upon program completion.
Preferred Areas of Study: Finance, Mathematics, Statistics, Computer Science, Data Science, Technology, Actuarial Science, Economics
Desired Skills: Strong analytical and technical skills with diversity of thought. Innovative thinking with strong communication and presentation skills. Problem solving and ability to work in teams. Leadership and motivation to self-learn.
Minimum Requirements: Bachelor’s Degree from a 4-year school or university, 3.0 GPA
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