Senior Quant Analytics & Model Analyst: Credit Loss

PNC Financial Services Group, Inc.; Tysons (VA); On-site; USD 86,000 - 173,000; Full time

Job summary

PNC Financial Services Group, Inc. seeks a Quantitative Analytics & Model Analyst Senior to advance CECL/CCAR models and governance. You will develop Python-based analytic pipelines, integrate with model owners, and monitor performance across regulatory initiatives.

You will work with large datasets, automate workflows, and apply ML techniques to improve monitoring and efficiency while collaborating with cross-functional teams and communicating complex results to stakeholders.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as finance, statistics, math, CS, data science, or engineering.
• Strong Python programming and software development experience.
• Experience with large-scale datasets and data manipulation frameworks.
• Strong problem-solving skills and ability to diagnose complex analytical issues.
• Experience developing automated solutions and analytical workflows.
• Strong communication and collaboration skills.

Responsibilities

• Develop, maintain, and enhance analytical processes and infrastructure for CECL, CCAR, and model monitoring.
• Collaborate with model development/validation teams for deployment and testing.
• Design and maintain Python-based solutions to automate data processing and reporting.
• Troubleshoot complex technical issues related to model execution and data quality.
• Perform quantitative analysis on large datasets to identify trends and support decisions.
• Implement and optimize data pipelines using modern analytics and distributed computing.
• Leverage AI and ML techniques to improve efficiency and insights.
• Support model governance activities, including documentation, testing, and regulatory inquiries.
• Partner with cross-functional teams to align solutions with business goals and risk controls.
• Communicate findings and recommendations to technical and non-technical stakeholders.

Skills

Python

Data manipulation

Automation

Analytical thinking

Communication

Education

Bachelor's or Master's degree in Quantitative Finance, Statistics, Mathematics, Computer Science, Data Science, Engineering, or related field

Tools

PySpark

Git/Bitbucket

Cloud computing

Distributed computing

Job description

PNC Financial Services Group, Inc. seeks a Quantitative Analytics & Model Analyst Senior to advance CECL/CCAR models and governance. You will develop Python-based analytic pipelines, integrate with model owners, and monitor performance across regulatory initiatives.

You will work with large datasets, automate workflows, and apply ML techniques to improve monitoring and efficiency while collaborating with cross-functional teams and communicating complex results to stakeholders.