Quantitative Analytics & Model Consultant Senior - Data Model Analytics

PNC•Pittsburgh, PA

1d•$80,000 - $185,150•Onsite

About The Position

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 & Model Consultant Senior within PNC's C&IB Commercial Real Estate organization, you will be based in Pittsburgh, or Philadelphia, PA; Cleveland, OH; Wilmington, DE; or Houston, TX. Independently performs the most 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 the most complex 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.

Requirements

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
Bachelors degree

Nice To Haves

Experience specifically within Commercial Real Estate (CRE) portfolios
Hands on experience with PD/LGD modeling and loss forecasting
Master’s degree in mathematics, Statistics, Quantitative Finance, Data Science, or a related discipline
Exposure to Generative AI (GenAI) tools or techniques applied to analytics, modeling, or automation
Experience working in a highly regulated banking environment
Strong executive level communication and stakeholder engagement skills

Responsibilities

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

Benefits

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
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service