Quantitative Analytics & Model Consultant Senior at PNC

Compensation

$112,000 – $249,600/yr

Setup: Hybrid
Location: Pittsburgh, Pennsylvania · Philadelphia, Pennsylvania · +6
Type: Full-time
Level: Senior
Posted: Jun 10, 2026

Description

PNC is seeking a Quantitative Analytics & Model Consultant Senior to join their Anti-Money Laundering Analytics & Modeling team. The role involves utilizing statistical techniques to develop models for detecting, monitoring, and preventing money laundering patterns. Key responsibilities include identifying risk indicators, recommending strategy improvements, and leading innovative AML projects. The consultant will collaborate with internal stakeholders and external partners to ensure effective model deployment and continuous improvement.

Required Skills

Statistical Techniques
Logistic Regression
Clustering
Gradient Boosting
Neural Network
Machine Learning Algorithms
Data Analytics
Model Building
Risk Assessment
Predictive Analytics
Quantitative Analysis
Financial Analysis
Operational Risks
Credit Risks
Regulatory Environment - Financial Services

Additional Information

Required Previous Experiences: 8+ years of industry-relevant experience.
Preferred Qualifications: Master's degree or higher in a quantitative field.
Experience in developing Generative AI solutions.
Experience with data mining and data preparation for ML models, including exploratory data analysis (EDA), data transformations, and preprocessing.
Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling.
Expertise in building, scaling, and optimizing machine learning systems with industry-recognized ML frameworks and algorithms.
Strong programming skills in Python, PySpark, R, and/or SQL.
Familiarity with big data technologies like Hadoop, Spark, Hive, Impala, etc.
Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model.
Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems.
Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners.
Ability to manage multiple projects simultaneously.
Strong teamwork skills and ability to work across different departments.
Hands-on experience building various types of AI/ML models, including neural networks.
Experience with cloud platforms like AWS, Google Cloud, or Azure.
Master’s degree in Statistics, Mathematics, Engineering or Econometrics.
Experience in banking/financial services.
Experience with anti-fraud and/or anti-money laundering modeling.