Senior Quant Analytics & Model Development – AML

PNC; Raleigh (NC); On-site; USD 110,000 - 140,000; Full time

Job summary

The PNC Financial Services Group, Inc. seeks a Quantitative Analytics and Model Development Analyst Senior within PNC’s Anti‑Money Laundering Analytics & Modeling team in Raleigh, NC.

The role collaborates across teams to build and refine statistical models for retail and lending product coverage. Applicants should have a Master’s degree in a quantitative field and at least one year of relevant experience, with hands-on work in SQL, Python, Hadoop/Spark and data visualization to communicate

Qualifications

• Master’s degree plus one year of experience in advanced quantitative analyses, model development and monitoring for large organizations (10,000+ employees) in financial services.
• Experience with managing, processing and analyzing large-scale datasets (multiple gigabytes).
• Proficiency in statistical analysis techniques including logistic regression, time series analysis, machine learning, and hypothesis testing.
• Ability to use data query tools (SQL, Python, Hadoop, Spark) to manipulate, analyze, and interpret data.
• Experience designing rich data visualizations to communicate insights to stakeholders.
• Programmatic data extraction from databases and APIs and transforming data into presentable forms (ROC, maps, Tableau).

Responsibilities

• Collaborate with cross-functional teams to perform data analyses, data mining, experimental design, and optimization to improve statistical models for retail and lending product coverage.
• Identify opportunities to improve strategies and processes through data-based analyses.
• Design and implement segmentation strategies based on customer behavior and transactional profiles.
• Provide analytics for transaction monitoring decisioning and optimization to mitigate losses.
• Deliver presentations with empirically tested recommendations to business partners and management.
• Design, evaluate, and validate statistical models to identify different types of customer behaviors.
• Handle, manipulate and analyze large datasets using Big Data tools.
• Assist in model documentation and maintain performance tracking.

Skills

Statistical analysis

Data mining

Experiment design

Model validation

Education

Master’s degree in Economics, Applied Economics, Engineering, Statistics, Mathematics or Finance

Tools

SQL

Python

Hadoop

Spark

Tableau

Job description

The PNC Financial Services Group, Inc. seeks a Quantitative Analytics and Model Development Analyst Senior within PNC’s Anti‑Money Laundering Analytics & Modeling team in Raleigh, NC.

The role collaborates across teams to build and refine statistical models for retail and lending product coverage. Applicants should have a Master’s degree in a quantitative field and at least one year of relevant experience, with hands-on work in SQL, Python, Hadoop/Spark and data visualization to communicate