Senior Quantitative Analytics & Model Consultant – C&IB Commercial Real Estate

PNC

Senior Quantitative Analytics Consultant at PNC developing and maintaining quantitative models for risk assessment. Collaborating with various stakeholders to enhance model development and efficiency.

Posted 6/3/2026full-timePittsburgh • Ohio, Pennsylvania, Texas • 🇺🇸 United StatesSenior💰 $112,000 - $249,600 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

predictive modelingmachine learningstatistical modelingloss forecasting modelsPythonPySparkdata processingmodel risk managementmodel validationanalytics process improvement

Soft Skills

communication skillspresentation skillscollaborationanalytical thinkingproblem-solving

Tools & Technologies

Commercial Real EstateCredit RiskFinanceRisk ManagementGenerative AIdistributed computing environments

Industry Keywords

quantitative analyticsfinancial servicesmodel governanceregulatory reviewsaudits

Tech Stack

Tools & technologies

PySparkPython

About the role

Key responsibilities & impact

Develop, enhance, and maintain loss forecasting models for Commercial Real Estate portfolios, including PD/LGD and expected loss models
Perform predictive modeling and machine learning/statistical modeling to assess risk drivers, portfolio behavior, and loss outcomes
Analyze large and complex datasets using Python and PySpark in distributed computing environments
Design, implement, test, and monitor models in accordance with model risk management and governance standards
Produce high quality model documentation, including methodology, assumptions, limitations, and performance analysis
Partner with Commercial Real Estate, Credit Risk, Finance, and Risk Management stakeholders to translate business needs into quantitative solutions
Support regulatory reviews, audits, and model validation activities
Present analytical findings and model results to senior leadership, risk committees, and non technical stakeholders
Contribute to analytics process improvement, automation, and scalability initiatives
Explore and apply Generative AI (GenAI) or advanced analytics techniques where appropriate to enhance model development and efficiency

Requirements

What you’ll need

6+ years of professional experience in quantitative analytics, modeling, or risk management within Financial Services
Strong hands on Python programming and coding experience
Experience working with PySpark and large scale data processing
Deep experience in predictive modeling and machine learning/statistical modeling
Proven experience developing and maintaining loss forecasting models
Strong statistical and mathematical background
Demonstrated ability to produce clear, thorough model and technical documentation
Excellent presentation and communication skills, with the ability to explain complex analytics to business audiences

Benefits

Comp & perks

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
a robust wellness program with financial incentives