Hybrid Quantitative Analytics and Model Consultant – Anti Money Laundering (AML), Fraud Model Validation

at PNC

• Job title: Quantitative Analytics and Model Consultant – Anti Money Laundering (AML), Fraud Model Validation
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $78,000 - $165,600 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Pittsburgh, United States

About the role

• Quantitative Analytics/Modeling Consultant at PNC performing model validations. Focus on fraud and anti-money laundering model compliance.

Responsibilities

• Perform qualitative and quantitative assessments of all aspects of models including data quality and integrity, theoretical assumptions and methodologies, and performance testing
• Assess conceptual soundness and performance of models based on detailed model documentation and testing results
• Perform independent testing of model assumptions
• Use quantitative tools and techniques to measure and analyze model risks
• Evaluate identified model risks and reach conclusions on strengths and limitations of the model
• Conduct on-going communication with model stakeholders such as developers, owners and reviewers
• Prepare detailed validation reports on quantitative models/tools for internal/external communications and/or regulatory compliance, using applicable templates
• Establish effective relationships with key stakeholders, including model owners and model developers
• Communicate validation results and insights clearly and concisely to both technical and non-technical audiences, including regulatory staff members
• Collaborate within the Model Risk Management team to enhance validation processes and contribute to the continual improvement of market and counterparty risk management practices within the organization

Requirements

• Master's degree or higher in a quantitative field such as Statistics, Finance, Economics, Operations Research, or Mathematics.
• Experience developing models or validating models within the financial services industry or academic setting is required.
• Strong English communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse stakeholders.
• Hands-on experience with SQL, SAS, Python, or R.

Benefits

• medical/prescription drug coverage (with a Health Savings Account feature)
• dental and vision options
• employee and spouse/child life insurance
• short and long-term disability protection
• 401(k) with PNC match
• pension and stock purchase plans
• dependent care reimbursement account
• back-up child/elder care
• adoption, surrogacy, and doula reimbursement
• educational assistance, including select programs fully paid
• a robust wellness program with financial incentives
• maternity and/or parental leave
• up to 11 paid holidays each year
• 8 occasional absence days each year, unless otherwise required by law
• between 15 to 25 vacation days each year, depending on career level; and years of service