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PNC · 2 months ago

Quantitative Analytics and Model Consultant - Anti Money Laundering (AML) and Fraud Model Validation

Pittsburgh, PA

Full-time

Onsite

Mid, Senior Level

$78K/yr - $166K/yr

5+ years exp

PNC is a company that values its employees as its greatest asset, fostering an inclusive workplace culture. The role of Quantitative Analytics/Modeling Consultant involves performing independent reviews of models related to fraud and anti-money laundering, utilizing quantitative tools to assess model risks and collaborating with stakeholders to enhance validation processes.

BankingFinanceFinancial Services

No H1B

Responsibilities

Independent Model Review: Perform qualitative and quantitative assessments of all aspects of models including data quality and integrity, theoretical assumptions and methodologies, and performance testing; Specific duties include: (i) assess conceptual soundness and performance of models based on detailed model documentation and testing results (ii) perform independent testing of model assumptions (iii) use quantitative tools and techniques to measure and analyze model risks; (iv) evaluate identified model risks and reach conclusions on strengths and limitations of the model; (v) conduct on-going communication with model stakeholders such as developers, owners and reviewers; and (vi) prepare detailed validation reports on quantitative models/tools for internal/external communications and/or regulatory compliance, using applicable templates

Stakeholder Collaboration and Communication: 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

Performs complex quantitative analyses and models development to support decision-making by running quantitative strategies

Develops new model frameworks by supporting the line of business. Refines, monitors, and validates existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models

Performs advanced qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Reviews reports and associated quantitative analysis. Validates existing models and assesses model risks

Evaluates identified 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

Qualification

Model ValidationQuantitative AnalysisSQLPythonSASRData AnalyticsFinancial AnalysisAnalytical ThinkingConsultingPredictive AnalyticsRegulatory EnvironmentEffective Communication