Senior Quant Analytics & AI Model Developer

PNC Financial Services Group; Tysons (VA); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) with PNC match

Paid holidays

Job summary

PNC Financial Services Group is seeking a Senior Quantitative Analytics & Model Development Analyst to join the Data, Model & Analytics line of business. The role supports AI initiatives, develops quantitative models, and performs risk assessments for regulatory validation.

Based in Tysons Corner, VA, or Pittsburgh, PA, the candidate will work with large datasets and cross-functional teams. The position requires strong Python skills, experience in quantitative analytics, and a background in

Qualifications

• 3+ years of quantitative/industry experience in financial services.
• Bachelor's degree required; advanced certifications often desired.

Responsibilities

• Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies.
• Analyzes and develops new model frameworks by supporting the line of business; refines, monitors and reviews existing models.
• Performs quantitative analysis and develops complex reports; assesses model design and data quality and integrity.
• Uses quantitative tools to measure model risks and concludes on strengths and limitations of the model.
• Prepares and analyzes detailed documents for validation and regulatory compliance.

Skills

Analytical Thinking

Credit Risks

Data Analytics

Financial Analysis

Model Development

Operational Risks

Quantitative Models

Risk Appetite

Education

Bachelor's Degree

Tools

Python

Job description

PNC Financial Services Group is seeking a Senior Quantitative Analytics & Model Development Analyst to join the Data, Model & Analytics line of business. The role supports AI initiatives, develops quantitative models, and performs risk assessments for regulatory validation.

Based in Tysons Corner, VA, or Pittsburgh, PA, the candidate will work with large datasets and cross-functional teams. The position requires strong Python skills, experience in quantitative analytics, and a background in