onsite
Senior Quantitative Analytics & Model Consultant - PNC
Software Engineer
Senior consultant leading quantitative analytics and model development, leveraging Python, SQL, SAS, and machine learning to build risk and forecasting models and deliver actionable insights for data‑driven decision making.
About the role
Key Responsibilities
- Design, develop, and validate quantitative models for credit risk, pricing, and forecasting using Python, SAS, and advanced statistical techniques.
- Collaborate with business stakeholders to translate requirements into analytical solutions and present findings through clear data visualizations.
- Maintain and enhance model governance processes, ensuring compliance with regulatory standards and internal policies.
- Perform data extraction, transformation, and analysis using SQL and large‑scale data platforms.
- Mentor junior analysts, promote best practices, and contribute to continuous improvement of the analytics framework.
Requirements
- 5+ years of experience in quantitative analytics, statistical modeling, or data science within financial services.
- Proficiency in Python, SAS, and SQL; hands‑on experience with machine‑learning libraries (e.g., scikit‑learn, TensorFlow).
- Strong understanding of risk modeling concepts, model validation, and regulatory expectations.
- Excellent communication skills with the ability to convey complex analytical results to non‑technical audiences.
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, or Engineering.
Skills
pythonsqlmachine learning