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PNC · Pittsburgh, PA
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Quantitative Analytics and Model Consultant within PNC's Model Risk Management organization, you will be based in Pittsburgh, PA, New York City or Tysons Corner, VA. As a model validator you will perform rigorous independent reviews of PNC's models including fraud models, anti-money laundering models, as well as various types of machine-learning models. Key Responsibilities: 1. 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. 2. 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. Qualifications: - 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 concept