Portfolio Analytics & Strategy Analyst Senior - Decision Science at PNC

Department: Quantitative Analytics

Compensation

$86,250 – $158,125/yr

Setup: On-site
Location: Pittsburgh, Pennsylvania · Washington, District of Columbia · +6
Type: Full-time
Level: senior
Posted: Sep 13, 2026

Description

PNC is hiring a Portfolio Analytics & Strategy Analyst Senior to monitor and analyze consumer and lending portfolios, develop SQL and Python analytical solutions, evaluate credit and bad-debt trends, support lending and recovery strategies, automate reports and dashboards, and present recommendations to business leaders. The role requires a bachelor’s degree in a quantitative field, 1–2 years of relevant analytics experience or an MBA or related graduate degree, strong SQL and Python skills, and experience with large datasets. It is an in-office position in several United States locations, with a base salary of $86,250 to $158,125 and no visa sponsorship.

Required Skills

SQL
Python
Data analysis
Data validation
Relational databases
Microsoft Excel
Tableau
Power BI
Predictive models
Machine learning models
Risk management

Additional Information

Minimum Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Finance, Analytics, Computer Science, or a related quantitative field
Required Previous Experiences: 1–2 years of relevant analytics experience or completion of an MBA or related graduate degree
Hands-on SQL experience
Python programming and data analysis experience
Experience analyzing large datasets and developing business insights
Experience using JIRA and Confluence for project management and collaboration
Preferred Qualifications: Experience with Tableau and/or Power BI
Experience supporting lending, credit, portfolio management, collections, or recovery strategies
Knowledge of consumer or commercial lending portfolios
Experience developing or monitoring statistical, predictive, or machine learning models
Experience with Generative AI applications and analytics use cases
Familiarity with model performance monitoring and analytical testing methodologies
Understanding of risk management and debt analysis