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 Senior Quantitative Analytics and Model Development Consultant within PNC's Balance Sheet Analytics & Modeling (BSAM) organization, you will be based in Pittsburgh, PA or another PNC Hub site. 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.

In this role, you will utilize advanced statistical techniques, big data engineering skills and solid programming knowledge onto the complex quantitative analysis mainly on PNC's CECL and CCAR models and fraud models. You will be responsible for the implementation and maintain of these models, performing the analytical work during model executions, serves as a reliable partner to support the requests from the line of business, and drive the growth and mitigate credit risk and fraud risk across PNC’s balance sheet.

Preferred Skills & Qualifications

-Advanced degree plus three or more years’ experience in credit risk or fraud modeling.
-Strong working knowledge of programming, especially using Python, is required.
-Knowledge of CECL and CCAR is strongly preferred.
-Strong knowledge and experience with relational databases, SQL, Python, and Spark is preferred.
-Experiences/Knowledge on Machine Learning is a plus.
-Solid technical writing skill is a plus.
-Team player, self-learner and good communication skills.

PNC will NOT provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• 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.

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 activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required