Senior Quant Analyst - Credit Loss Forecasting Models

PNC Financial Services Group, Inc.; Charlotte (NC); On-site; USD 86,000 - 173,000; Full time

Job summary

PNC Financial Services Group, Inc. in the United States seeks a Quantitative Analytics & Model Analyst Senior to join the Credit Loss Forecasting (CLF) organization and work from Charlotte, NC.

This role focuses on CECL, CCAR, and model monitoring, delivering Python-based analytics and governance across complex datasets. The position requires strong Python skills, experience with large-scale data, and a background in finance or quantitative disciplines.

Qualifications

• Bachelor's or Master's degree in Quantitative Finance, Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field.
• Strong Python programming and software development experience.
• Experience with large-scale datasets and data manipulation frameworks.
• Strong problem-solving skills with the ability to diagnose and resolve complex analytical and technical issues.
• Experience developing automated solutions and analytical workflows.
• Strong communication and collaboration skills.

Responsibilities

• Develop, maintain, and enhance analytical processes, controls, and supporting infrastructure for CECL, CCAR, Model Monitoring, and other regulatory initiatives.
• Collaborate with model development and validation teams to support model implementation, onboarding, testing, monitoring, and production deployment.
• Design, develop, and maintain robust Python-based solutions to automate data processing, analytics workflows, controls, and reporting processes.
• Troubleshoot and resolve complex technical issues related to model execution, data quality, workflow orchestration, and analytical outputs.
• Perform quantitative analysis on large and complex datasets to identify trends, validate model performance, and support business decision-making.
• Implement and optimize data pipelines using modern analytics and distributed computing frameworks.
• Leverage AI, machine learning, and advanced analytical techniques to improve process efficiency, model monitoring capabilities, and analytical insights.
• Support model governance activities, including documentation, testing, validation support, issue remediation, control execution, and audit/regulatory inquiries.
• Partner with cross-functional teams to ensure analytical solutions align with business objectives, risk management practices, and regulatory requirements.
• Communicate analytical findings, technical issues, and recommendations to both technical and non-technical stakeholders.

Skills

Python programming

Data manipulation

Problem solving

Automation

Communication

Education

Bachelor's or Master's in quantitative field

Tools

PySpark

Git/Bitbucket

Cloud computing

Job description

PNC Financial Services Group, Inc. in the United States seeks a Quantitative Analytics & Model Analyst Senior to join the Credit Loss Forecasting (CLF) organization and work from Charlotte, NC.

This role focuses on CECL, CCAR, and model monitoring, delivering Python-based analytics and governance across complex datasets. The position requires strong Python skills, experience with large-scale data, and a background in finance or quantitative disciplines.