Quantitative Analytics and Model Consultant - Asset & Liability Management and Treasury Models

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 employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics and Model Development Consultant within PNC’s Model Risk Management organization, you will be based in Pittsburgh, PA, New York City or Tysons Corner, VA.

• 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. Assess conceptual soundness and performance of models based on detailed model documentation and testing results. Perform independent testing of model assumptions. Apply quantitative tools and techniques to measure and analyze model risks. Evaluate identified model risks and provide clear conclusions on model strengths and limitations.
  
  Maintain ongoing communication with model stakeholders such as developers, owners and reviewers. Prepare comprehensive validation reports for internal/external communications and/or regulatory compliance, using applicable templates.
• Stakeholder Collaboration and Communication:
  Build 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 model risk management practices within the organization.

• Master’s or Ph.D. in a quantitative field such as Finance, Statistics, Physics, Mathematics, or a related discipline with a stochastic calculus background.
• Experience in ALM and Treasury model development and/or validation within the financial services industry is highly desired.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse stakeholders.
• Hands‑on experience with one or more of Python, R, MATLAB, SQL, and Quant Lib. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

• Medical, prescription drug coverage with a Health Savings Account feature.
• Dental and vision options.
• Employee and spouse/child life insurance.
• Short and long‑term disability protection.
• 401(k) with PNC match, pension and stock purchase plans.
• Dependent care reimbursement account.
• Back‑up child/elder care; adoption, surrogacy, and doula reimbursement.
• Educational assistance, including select programs fully paid.
• Robust wellness program with financial incentives.
• Paid time off: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year; 15–25 vacation days each year, depending on career level; and years of service.

If an accommodation is required to participate in the application process, please contact us via email at  Please include “accommodation request” in the subject line title and be sure to include your name, the job , and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877‑968‑7762 and say "Workday" for accommodation assistance.

All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

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