Fraud Data Scientist - Card Risk & Analytics

PNC; North Carolina; On-site; USD 91,000 - 169,000; Full time

Job summary

PNC invites applications for a Fraud Data Scientist focused on credit/debit card transactions, based in Columbus, OH. The role emphasizes statistical modeling, Python, R, SQL, and data-driven risk analytics to optimize card portfolio decisions.

Ideal candidates have 5+ years in card analytics, hands-on experience with predictive modeling, and the ability to translate insights into actionable risk strategies. In-office work setup with comprehensive benefits is offered.

Qualifications

• Experience with card authorization strategies, modeling, or monitoring.
• Direct experience with credit/debit card portfolios preferred.
• Strong data science skills applied to risk and pricing.

Responsibilities

• Run complex analytics to assess market, credit, and operational risks.
• Analyze large datasets to improve risk-adjusted returns and lending decisions.
• Develop segmentation and targeting for portfolio strategies.
• Collaborate with business and risk teams to monitor test designs and reporting.
• Design standard reporting for regular product and portfolio reviews.

Skills

Python

R

SQL

Spark

Data Analytics

Graph/Linkage Analysis

Data Visualization

Statistical Modeling

Credit Card Analytics

Risk Analytics

Education

Bachelor's degree

Tools

Spark

SQL

Job description

PNC invites applications for a Fraud Data Scientist focused on credit/debit card transactions, based in Columbus, OH. The role emphasizes statistical modeling, Python, R, SQL, and data-driven risk analytics to optimize card portfolio decisions.

Ideal candidates have 5+ years in card analytics, hands-on experience with predictive modeling, and the ability to translate insights into actionable risk strategies. In-office work setup with comprehensive benefits is offered.