Fraud Strategy & Portfolio Analytics Pro

PNC Financial Services Group, Inc.; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 75,000 - 138,000; Full time

Benefits offered by this job

Medical/prescription coverage

Dental and vision options

Life insurance

Disability protection

401(k) with company match

Stock purchase plans

Educational assistance

Wellness program

Job summary

PNC Financial Services Group, Inc. is seeking an Enterprise Fraud Portfolio Analytics & Strategy Analyst to deploy fraud strategies and mitigate losses. Based in multiple U.S. locations, the role requires strong data skills and experience across fraud channels.

The ideal candidate will work with cross-functional teams to monitor risk, develop predictive models, and communicate insights to leadership. Willingness to work off-hours during incidents is a plus.

Qualifications

• 2+ years of relevant professional experience in analytics for banking/fraud.
• Proficiency in SQL, R, Python, Power Automate and Power BI.
• Understanding of Boolean logic and data-driven decision making.
• Experience with fraud in deposits, digital channels, new accounts, or cards.

Responsibilities

• Analyze large datasets to assess market, credit and operational risk.
• Develop analytical models to improve risk-adjusted returns and growth.
• Synthesize results and propose strategies to mitigate fraud and prevent losses.
• Collaborate with business, data and risk teams to monitor risk appetite.
• Design and maintain standard reporting for product/portfolio reviews.

Skills

SQL

R

Python

Power Automate

Power BI

Data science

Boolean logic

Fraud experience

Analytical skills

Off-hours availability

Tools

Power Automate

Power BI

SQL

Job description

PNC Financial Services Group, Inc. is seeking an Enterprise Fraud Portfolio Analytics & Strategy Analyst to deploy fraud strategies and mitigate losses. Based in multiple U.S. locations, the role requires strong data skills and experience across fraud channels.

The ideal candidate will work with cross-functional teams to monitor risk, develop predictive models, and communicate insights to leadership. Willingness to work off-hours during incidents is a plus.