Quantitative Analytics & Model Analyst
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 Modeling & 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:
12 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.
Pay Transparency
Base Salary: $75,000.00 $150,000.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
Benefits
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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. In addition, PNC generally provides the following paid time off, depending on your eligibility: 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.
To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.