Senior Quant Analytics for Credit Loss Forecasting

PNC; Pittsburgh (Allegheny County); Sur place; USD 86 000 - 173 000; Plein temps

Résumé du poste

The Quantitative Analytics & Model Analyst Senior at PNC will support CECL, CCAR and model governance within the CLF team. You will develop and maintain Python-based analytics workflows, data pipelines, and scalable solutions across multiple locations in the U.S.

You will partner with model development, governance, technology, and business teams to ensure accurate analyses, regulatory compliance, and actionable insights for risk management.

Qualifications

• Bachelor's or Master's degree in Quantitative Finance, Statistics, Mathematics, Computer Science, Data Science, Engineering, or related field.
• Strong Python programming and software development experience.
• Experience working with large-scale datasets and data manipulation frameworks.
• Experience developing automated solutions and analytical workflows.
• Strong communication and collaboration skills.

Responsabilités

• Develop and maintain analytical processes and controls for CECL, CCAR, and Model Monitoring.
• Collaborate with model development and validation teams to support deployment and testing.
• Design Python-based solutions to automate data processing and reporting.
• Troubleshoot complex issues in model execution and data quality.
• Perform quantitative analyses on large datasets to identify trends and inform decisions.
• Support governance activities, including documentation and audit inquiries.

Connaissances

Python programming

Data analysis

Large-scale data experience

Automation of workflows

Communication skills

Formation

Bachelor's/Master's in quantitative field

Outils

PySpark

Git/Bitbucket

Description du poste

The Quantitative Analytics & Model Analyst Senior at PNC will support CECL, CCAR and model governance within the CLF team. You will develop and maintain Python-based analytics workflows, data pipelines, and scalable solutions across multiple locations in the U.S.

You will partner with model development, governance, technology, and business teams to ensure accurate analyses, regulatory compliance, and actionable insights for risk management.