Senior AML Quant Analytics & Model Development Lead

Fairygodboss; Cincinnati (OH); On-site; USD 86,000 - 173,000; Full time

Benefits offered by this job

Medical/prescription coverage

Dental and vision options

Life insurance

Short and long-term disability

401(k) with match

Pension and stock purchase plans

Dependent care reimbursement

Wellness program

Paid time off (holidays/vacation)

Job summary

PNC is seeking an AML Quantitative Analytics and Model Development Analyst Senior Machine Learning to advance AI-enabled AML investigations. Based in Pittsburgh, PA, Cincinnati, OH, or hub locations, you will work with model owners, technology partners, investigators, and risk stakeholders to drive rigorous analytics and governance.

The role blends curiosity about AI with practical experience in regulated environments, translating complex concepts into actionable insights and helping shape AI

Qualifications

• 3+ years of relevant / direct industry experience.
• University/college degree required; certifications often desired.
• Background in quantitative analytics and model development.

Responsibilities

• Independently performs advanced quantitative analyses and model development to drive decision-making.
• Analyzes and develops new model frameworks and monitors existing models.
• Prepares and analyzes detailed documents for validation and regulatory compliance.
• Uses quantitative tools to measure model risks and assess strengths/limitations.

Skills

Analytical Thinking

Credit Risks

Data Analytics

Financial Analysis

Model Development

Operational Risks

Quantitative Models

Risk Appetite

Education

Bachelor's

Job description

PNC is seeking an AML Quantitative Analytics and Model Development Analyst Senior Machine Learning to advance AI-enabled AML investigations. Based in Pittsburgh, PA, Cincinnati, OH, or hub locations, you will work with model owners, technology partners, investigators, and risk stakeholders to drive rigorous analytics and governance.

The role blends curiosity about AI with practical experience in regulated environments, translating complex concepts into actionable insights and helping shape AI