Senior AML Quant Analytics & ML Model Developer

PNC Financial Services Group, Inc.; Chicago (IL); On-site; USD 86,000 - 173,000; Full time

Benefits offered by this job

Medical/dental/vision coverage

401(k) with company match

Paid time off and holidays

Wellness program

Job summary

PNC is seeking an AML Quantitative Analytics and Model Development Analyst Senior Machine Learning within PNC's AML organization, based in Pittsburgh, PA, Cincinnati, OH or hub locations. This role blends advanced analytics with practical governance in a highly regulated setting.

The successful candidate will monitor AI-enabled AML investigations, collaborate with model owners, technology partners, investigators, and risk stakeholders, and help shape the strategic direction of AI-enabled

Qualifications

• University degree and 3+ years of relevant industry experience.
• Certifications are often desired; in lieu of a degree, a comparable combination may be considered.
• Experience in risk/compliance within financial services/regulatory environments.

Responsibilities

• Perform 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, data quality, and implementation.
• Use quantitative tools to measure model risks and evaluate strengths and limitations of the model.
• Prepares and analyzes detailed validation and regulatory documents using applicable templates.

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 within PNC's AML organization, based in Pittsburgh, PA, Cincinnati, OH or hub locations. This role blends advanced analytics with practical governance in a highly regulated setting.

The successful candidate will monitor AI-enabled AML investigations, collaborate with model owners, technology partners, investigators, and risk stakeholders, and help shape the strategic direction of AI-enabled