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 Sr. Quantitative Analytics/Modeling Consultant within PNC's Model Risk Management organization, you will can be based in Pittsburgh, PA or Tysons Corner, VA.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager’s discretion.

As a senior validator you will perform rigorous independent reviews of some of PNC’s most important 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 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.

Job Description

• Independently performs the most 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 the most complex 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.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activitie