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 & Model Analyst within PNC's Retail Lending Data Model Analytics organization, you will be based in Pittsburgh, PA; Cleveland, OH; or Tyson's Corner, VA.

Key Responsibilities:

• Design, develop, and evaluate quantitative models used in retail lending analytics and optimization.
• Apply reinforcement learning frameworks and/or optimization modeling techniques to decision based problems.
• Analyze how models interact with computer systems, including inputs, outputs, and feedback loops.
• Incorporate human-in-the-loop or other forms of human input models where applicable.
• Test model behavior using different input structures and system configurations.
• Document model assumptions, methodologies, results, and limitations.
• Collaborate with technical teams to support model integration into production systems.
• Support ongoing model enhancements, validation, and performance monitoring.

Required Experience & Skills:

• 1–2 years of experience in quantitative modeling, reinforcement learning, optimization modeling, or related analytical work
OR
Bachelor’s degree (or higher) in Mathematics, Statistics, Quantitative Methods, Data Science, Computer Science, or a related field
• Experience or academic exposure to reinforcement learning and/or optimization modeling techniques
• Strong quantitative, mathematical, and statistical background
• Understanding of human input models or unique/custom modeling approaches
• Knowledge of how models interact with computer systems and software environments
• Familiarity with how models accept, process, and respond to various forms of input data
• Strong analytical thinking and problem solving skills

Preferred Qualifications:

• Experience applying reinforcement learning or optimization techniques in financial, lending, or decision science contexts
• Exposure to model deployment concepts and system integration
• Familiarity with simulation, control systems, or feedback driven modeling
• Strong written and verbal communication skills for explaining complex models to non technical audiences

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

 

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Under general supervision, performs advanced quantitative analyses and models development to support decision-making by running quantitative strategies.
• Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews 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 quantitative analysis and develops reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis.
• Uses quantitative tools and techniques to measure and analyze 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.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates mu