Portfolio Analytics & Strategy Analyst Senior - Data, Modeling & AnalyticsPNC • United States
Portfolio Analytics & Strategy Analyst Senior - Data, Modeling & Analytics
PNC
- United States
- United States
Über
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 an Portfolio Analytics & Strategy Analyst Senior within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh or Philadelphia, PA; Wilmington, DE; Tyson's Corner, VA; Washington, DC; or Cleveland, OH. Key Responsibilities: Design analytical models to assess the risk of the card portfolio. Analyze large datasets using advanced tools and methodologies to generate actionable insights and support strategic decision-making. Conduct portfolio reviews, loss forecasting, and identify opportunities to improve returns and drive business growth. Utilize tools such as Python, SQL, Excel, and Tableau to support data analysis and visualization. Preferred skills and experience: Experience across related fields including consumer lending, credit risk analytics, loss forecasting, and portfolio performance analysis. Strong proficiency in analytical tools and programming languages (e.g., Python, SQL). Expertise in data visualization and reporting using Excel and Tableau. Excellent communication skills with the ability to translate complex data into clear business insights. 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.
Sprachkenntnisse
- English
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