Quantitative Analytics & Model Analyst - Retail Lending

PNC; Pittsburgh (Allegheny County); On-site; USD 75,000 - 150,000; Full time

Job summary

PNC, a major financial services firm, seeks a Quantitative Analytics & Model Analyst within its Retail Lending data modeling and analytics organization. Based in Pittsburgh, Cleveland, or Tyson's Corner, you will design and evaluate quantitative models for retail lending, applying reinforcement learning and optimization techniques, and collaborate with tech teams to productionize models.

Responsibilities include modeling across data platforms, validating model performance, and communicating

Qualifications

• 1–2 years of experience in quantitative modeling or related analytics
• Strong quantitative, mathematical, and statistical background
• Experience with reinforcement learning or optimization modeling techniques
• Understanding of how models interact with software environments
• Ability to communicate complex modeling concepts clearly

Responsibilities

• Design, develop, and evaluate quantitative models for retail lending analytics
• Apply reinforcement learning or optimization to decision-based problems
• Analyze model interactions with computer systems and inputs/outputs
• Incorporate human-in-the-loop input where applicable
• Test model behavior under different inputs and configurations
• Document model assumptions, methodologies, results, and limitations
• Collaborate with technical teams to integrate models into production
• Support ongoing model enhancements and monitoring

Skills

Quantitative modeling

Reinforcement learning

Optimization modeling

Data analysis

Education

Bachelor's degree

Job description

PNC, a major financial services firm, seeks a Quantitative Analytics & Model Analyst within its Retail Lending data modeling and analytics organization. Based in Pittsburgh, Cleveland, or Tyson's Corner, you will design and evaluate quantitative models for retail lending, applying reinforcement learning and optimization techniques, and collaborate with tech teams to productionize models.

Responsibilities include modeling across data platforms, validating model performance, and communicating