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/Modeling Consultant Sr. within PNC's Internal Audit organization, you can be based in Pittsburgh, PA; Cleveland, OH; Charlotte, NC; Raleigh, NC; Chicago, IL; Dallas, TX; Washington DC, or Birmingham, AL.

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.

Are you interested in an opportunity to join a dynamic and transformative audit environment that encourages innovation, champions data analytics, promotes process automation, and embraces emerging risks. PNC’s Internal Audit department is composed of industry leaders who provide independent, objective assurance and consulting services designed to add value and recommend improvement to the organization’s operations. Using cutting edge technology, you would participate in a collaborative setting and help guide PNC’s Internal Audit department into the future.

· We execute a Risk Based Audit Approach
· We value Data Analytics and Automation
· We leverage Continuous Monitoring/Auditing Techniques
· We recruit, develop, and retain great talent

We are looking for individuals who are passionate about mitigating risk, problem solving, and protecting the bank and also can contribute in the following ways:

· Provide an independent and objective perspective
· Ability to manage risk and think strategically
· Gather, analyze and translate data into actionable insights
· Work in an environment that requires a high level of accuracy and strong attention to detail
· Communicate and collaborate effectively with team members and business partners

As a Quantitative Analytics and Model Development Consultant Sr. for PNC's Model Audit Team within Internal Audit, you would provide oversight of all quantitative models within the PNC Bank and act as the third line of defense for the company. As a member of this team, you would be expected to participate in all aspects of model audit activities and would work with the Primary Model Owner (PMO) and Model Risk Management Group (MRMG) to ensure that PNC Bank’s high impact models comply will all applicable internal and regulatory rules and policies. You would additionally:

• Serve as subject matter expert to assigned areas and review model documentation and model validation reports to determine if the models are conceptually sound and compliant with the pertinent internal and regulatory policies. Document and communicate results and findings in Audit workpapers and Potential Audit Issues. Help prepare audit reports and support general audit process and control review activities related to traditional audit work, as assigned. Where applicable, guide other team members to aid their learning of various analytical tools and audit processes.
• Conduct ongoing prior issue monitoring according to established follow-up and target completion dates. Perform remediation testing to determine if management has completed all work to recommend closure of regulatory MRAs (Matter Requiring Attention) and audit issues. This will involve creating the remediation testing plan, deep dive into model documentation, model validation reports, other supporting material and analyses, and meetings with clients and regulators.
• Conduct data analytic and alternative modeling techniques to provide challenge to the datasets and models developed by model developers.
• Provide general support functions including attendance at relevant meetings with the clients and regulators, assisting in the preparation of meeting agendas and documenting meeting minutes.
• Keep abreast of latest modeling techniques, pertinent academic and semi-academic research, and changes in the regulatory landscape.

The successful candidate will have the following qualifications:

• Sound statistical, mathematical and analytical background to be able to comprehend quantit