Quantitative Analytics & Model Development Analyst Sr

PNC Bank•Pittsburgh, PA
•Onsite

About The Position

PNC is hiring a Quantitative Analytics & Model Development Analyst Sr in its Finance organization, based in Pittsburgh, PA or Cleveland, OH. As part of the Balance Sheet Management team, this role contributes to measuring and projecting interest rate and liquidity risk, with visibility and engagement across corporate treasury, lines of business, and risk management partners. The position works closely with PNC’s Quantitative Risk Management (QRM) application, the core application for balance sheet modeling, and manages model assumptions and reporting output. Excel, SQL, Python, PowerBI, and LLM-assisted tools are important for delivering detailed analytics. Experience with balance sheet modeling, banking products, macroeconomics, and financial engineering or mathematics is preferred. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with the recruiter and hiring manager. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position. The analyst independently performs advanced quantitative analyses and model development to support decision-making, makes recommendations based on analyses, and supports lines of business through the analysis and development of model frameworks. The role refines, monitors, and reviews existing models; communicates with model owners and developers during reviews; works with large and complex datasets; and produces quantitative analyses and complex reports. It assesses theoretical aspects, model design and implementation, and data quality and integrity; analyzes complex data; evaluates model risks, strengths, and limitations; and prepares detailed validation and regulatory-compliance documentation using applicable templates. Candidates typically have a university or college degree and at least three years of relevant or direct industry experience. A comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree. A bachelor’s degree is listed; no certification or license is required. The position is incentive eligible, with payment based on company, business, and/or individual performance.

Requirements

  • Typically, a university or college degree and at least 3 years of relevant or direct industry experience.
  • A comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
  • Demonstrate appropriate knowledge, skills, and abilities for the role.
  • Strong intellectual curiosity, attention to detail, problem-solving, and communication skills, and the desire to work in a dynamic environment.
  • Customer focus and the ability to apply customer needs and satisfaction to business decisions and customized customer solutions.
  • Ability to assess and effectively manage risks in alignment with PNC's Enterprise Risk Management Framework.

Nice To Haves

  • Experience with balance sheet modeling, banking products, macroeconomics, and financial engineering or mathematics.
  • Fluency with Excel, SQL, Python, PowerBI, and LLM-assisted tools.
  • Analytical thinking, credit risks, data analytics, financial analysis, model development, operational risks, quantitative models, and risk appetite.
  • Competencies in bank quantitative analysis, consulting, data gathering and reporting, effective communications, predictive analytics, quantitative techniques, financial-services regulatory environments, and testing.
  • Certifications are often desired.

Responsibilities

  • Independently perform advanced quantitative analyses and model development to support decision-making through quantitative strategies.
  • Make recommendations based on analyses and data analytics findings.
  • Analyze and develop new model frameworks in support of lines of business.
  • Refine, monitor, and review existing models.
  • Communicate with model owners and model developers throughout model reviews.
  • Work with larger, more complex datasets to create models.
  • Perform quantitative analysis and develop complex reports.
  • Assess models qualitatively and quantitatively, including their theoretical aspects, design, implementation, and data quality and integrity.
  • Use quantitative tools and techniques to measure and analyze model risks and determine model strengths and limitations.
  • Prepare and analyze detailed documentation for model validation and regulatory compliance using applicable templates.

Benefits

  • Medical and 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 and elder care.
  • Adoption, surrogacy, and doula reimbursement.
  • Educational assistance, including select fully paid programs.
  • Wellness program with financial incentives.
  • Maternity and/or parental leave.
  • Up to 11 paid holidays each year.
  • 9 occasional absence days each year, unless otherwise required by law.
  • 15 to 25 vacation days each year, depending on career level and years of service.
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