Fraud Modeling & Portfolio Analytics Expert

PNC; Cleveland (OH); On-site; USD 91,000 - 169,000; Full time

Job summary

PNC is seeking a Portfolio Analytics & Strategy Specialist (Fraud Model Analyst) to join its Technology organization, based in multiple US locations including Cleveland/Strongsville OH. The role focuses on developing, testing, and validating fraud-detection models, with cross-functional collaboration to support anti-money laundering and fraud-deterrence efforts.

The position requires strong Python/R/SAS-related skills, statistical modeling, and experience with large datasets.

Qualifications

• Proficient in Python, R, SQL; SAS is a plus.
• Strong background in statistical modeling and data analytics.
• Experience with graph databases and data visualization.

Responsibilities

• Oversees the development, testing, and validation of quantitative models used for detecting and deterring fraud.
• Conducts ongoing communication and support for model users and other stakeholders.
• Directs complex assessments of model design, data quality, and documentation; ensures reviews and controls.
• Leads evaluation of model risks and defects, driving resolution and enhancements.
• Communicates with oversight, risk, audit, and regulatory partners with formal documentation.

Skills

Python

R Language

SQL

SAS

Statistical Modeling

Data Science

Data Analytics

Graph Database

Data Visualization

Education

Bachelor's degree

Job description

PNC is seeking a Portfolio Analytics & Strategy Specialist (Fraud Model Analyst) to join its Technology organization, based in multiple US locations including Cleveland/Strongsville OH. The role focuses on developing, testing, and validating fraud-detection models, with cross-functional collaboration to support anti-money laundering and fraud-deterrence efforts.

The position requires strong Python/R/SAS-related skills, statistical modeling, and experience with large datasets.