Senior Quant Analytics & Model Analyst – Credit Forecast

PNC; United States; A distancia; USD 86.000 - 173.000; Jornada completa

Descripción de la vacante

PNC is seeking a Senior Quantitative Analytics & Model Analyst to design, develop, and govern quantitative models and AI-enabled automation for CECL, CCAR, and model monitoring. The role requires hands-on Python and PySpark, data engineering, and strong governance practices within enterprise risk management.

You will collaborate with model owners and cross-functional teams to translate requirements into scalable solutions, oversee testing, and contribute to policy compliance and documentation.

Formación

• Bachelors in quantitative field; advanced degree preferred.
• Strong Python programming and production code experience.
• Experience with quantitative analytics, model onboarding, and monitoring.
• Knowledge of model risk, data privacy, and governance requirements.

Responsabilidades

• Design, develop, implement, and govern quantitative analytics and AI-enabled automation for CECL, CCAR, and Model Monitoring.
• Develop modular, production-ready Python and PySpark code and data pipelines with strong version control and testing.
• Support model onboarding, monitoring, and remediation with rigorous testing and documentation.
• Diagnose and resolve data quality, workflow, and model execution issues across large datasets.

Conocimientos

Analytical thinking

Credit risks

Data analytics

Financial analysis

Model development

Operational risks

Quantitative models

Risk appetite

Educación

Bachelors

Herramientas

PySpark

SQL

Git/Bitbucket

APIs

Parquet/CSV

Descripción del empleo

PNC is seeking a Senior Quantitative Analytics & Model Analyst to design, develop, and govern quantitative models and AI-enabled automation for CECL, CCAR, and model monitoring. The role requires hands-on Python and PySpark, data engineering, and strong governance practices within enterprise risk management.

You will collaborate with model owners and cross-functional teams to translate requirements into scalable solutions, oversee testing, and contribute to policy compliance and documentation.