Portfolio Insights & Strategy Lead

PNC Financial Services Group, Inc.; Cleveland (OH); On-site; USD 91,000 - 203,000; Full time

Benefits offered by this job

Medical and prescription coverage

Life insurance

401(k) with company match

Job summary

PNC Financial Services Group, Inc. seeks a Portfolio Analytics & Strategy Specialist to join the Retail Data Solutions & Delivery team. Based in multiple locations including Cleveland, OH, this role drives data-driven decision support across Retail Banking and related functions.

The ideal candidate combines strong analytical capabilities with cloud data technologies, works with business partners and technologists, and translates requirements into scalable data solutions using AI-assisted tools.

Qualifications

• Bachelor's degree with 5+ years of relevant professional experience.
• Master's degree with 3+ years of relevant professional experience.
• PhD and no prior professional experience required.
• Experience working with large datasets to support business decision-making.

Responsibilities

• Provide financial and regulatory reporting and analyses to maintain controls over reporting processes.
• Run complex business performance, risk and operational analytics.
• Develop analytical methods/models to assess risk and support portfolio strategies.
• Leverage data expertise to translate business requirements into data solutions and collaborate with partners.
• Design, develop, and monitor test designs and analytical reporting to track strategies.

Skills

Python

PySpark

AWS

Analytical thinking

Strategic thinking

Requirements gathering

Agile methodologies

UAT execution

Documentation

Communication

Education

Bachelor's Degree

Master's Degree

PhD

Tools

GitHub

Copilot

Spark

Teradata

Job description

PNC Financial Services Group, Inc. seeks a Portfolio Analytics & Strategy Specialist to join the Retail Data Solutions & Delivery team. Based in multiple locations including Cleveland, OH, this role drives data-driven decision support across Retail Banking and related functions.

The ideal candidate combines strong analytical capabilities with cloud data technologies, works with business partners and technologists, and translates requirements into scalable data solutions using AI-assisted tools.