Fraud Modeling & Portfolio Analytics Specialist

Fairygodboss; Pittsburgh (Allegheny County); On-site; USD 91,000 - 169,000; Full time

Benefits offered by this job

Medical/prescription coverage

401(k) with company match

Pension and stock purchase plans

Generous paid time off

Job summary

PNC is seeking a Portfolio Analytics & Strategy Specialist (Fraud Model Analyst) to join its Technology organization across multiple U.S. locations. The role centers on developing, validating, and monitoring quantitative models used to detect fraud, AML and related activities.

You will collaborate with model users and cross-functional teams to ensure rigorous testing and governance. Ideal candidates bring strong statistical modeling, proficiency in R or Python, SQL, and experience with large

Qualifications

• 5+ years of industry experience in analytics and risk.
• Strong knowledge of SQL and big data tooling.
• Experience with model development and validation.
• Familiarity with AML/fraud analytics is a plus.

Responsibilities

• Oversees development, testing, and validation of quantitative models for fraud detection.
• Communicates with model users and stakeholders on model usage and governance.
• Assesses model risks and drives improvements of limitations.
• Leads a team of model developers and mentors the group.
• Communicates results to non-technical audiences and senior management.

Skills

Python

R Language

SQL

SAS

Statistical Modeling

Data Science

Data Visualization

Graph Database

Data Correlation

Education

Bachelor's degree

Tools

Trillium

Tableau

Hadoop

Job description

PNC is seeking a Portfolio Analytics & Strategy Specialist (Fraud Model Analyst) to join its Technology organization across multiple U.S. locations. The role centers on developing, validating, and monitoring quantitative models used to detect fraud, AML and related activities.

You will collaborate with model users and cross-functional teams to ensure rigorous testing and governance. Ideal candidates bring strong statistical modeling, proficiency in R or Python, SQL, and experience with large