Senior AML Data Quality & Quantitative Analytics Lead

Fairygodboss; Wilmington (DE); On-site; USD 86,000 - 172,000; Full time

Benefits offered by this job

Medical/dental/vision

401(k) with match

Paid holidays

Wellness program

Job summary

PNC is seeking an AML Data Quality and Quantitative Analytics and Model Development Analyst Senior based in Pittsburgh, PA, Cincinnati, OH, or hub locations. This role focuses on data governance, model validation, and regulatory reporting.

You will work with investigators, model owners, and technology teams to promote data integrity and ensure decisions are supported by reliable data, aligning with regulatory expectations.

Qualifications

• 3+ years of relevant / direct industry experience.
• Bachelor's degree required.
• Certifications are 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. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity.
• Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
• Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

Skills

Analytical Thinking

Credit Risks

Data Analytics

Financial Analysis

Model Development

Operational Risks

Quantitative Models

Risk Appetite

Education

Bachelors

Job description

PNC is seeking an AML Data Quality and Quantitative Analytics and Model Development Analyst Senior based in Pittsburgh, PA, Cincinnati, OH, or hub locations. This role focuses on data governance, model validation, and regulatory reporting.

You will work with investigators, model owners, and technology teams to promote data integrity and ensure decisions are supported by reliable data, aligning with regulatory expectations.