Senior Quant Analytics & Model Dev Analyst

PNC; Pennsylvania; Presencial; USD 86.000 - 144.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

401(k) with match

Pension plan/Stock purchase

Descripción de la vacante

PNC is seeking a Senior Quantitative Analytics & Model Development Analyst to join the Balance Sheet Management team in Pittsburgh, PA or Cleveland, OH. You will drive quantitative analyses, model development, and reporting for risk management and regulatory validation.

The role requires strong Excel, SQL, Python, PowerBI skills and experience with balance sheet modeling, macroeconomics, and financial engineering concepts. A Bachelor's degree and 3+ years of relevant experience are preferred.

Formación

• University/college degree required; 3+ years of relevant experience preferred.
• Experience with balance sheet modeling, banking products, macroeconomics or financial engineering is desirable.

Responsabilidades

• Perform advanced quantitative analyses and model development to support decision-making.
• Develop and validate new model frameworks with business stakeholders.
• Refine, monitor, and review existing models and outputs.
• Analyze large datasets to create robust models and detailed reports.
• Prepare documentation for validation and regulatory compliance.

Conocimientos

Analytical Thinking

Credit Risks

Data Analytics

Financial Analysis

Model Development

Operational Risks

Quantitative Models

Risk Appetite

Educación

Bachelors

Herramientas

Excel

SQL

Python

PowerBI

LLM-assisted tools

Descripción del empleo

PNC is seeking a Senior Quantitative Analytics & Model Development Analyst to join the Balance Sheet Management team in Pittsburgh, PA or Cleveland, OH. You will drive quantitative analyses, model development, and reporting for risk management and regulatory validation.

The role requires strong Excel, SQL, Python, PowerBI skills and experience with balance sheet modeling, macroeconomics, and financial engineering concepts. A Bachelor's degree and 3+ years of relevant experience are preferred.