Quantitative Analytics & Model Consultant Senior - Data Model Analytics

PNC Bank

Pittsburgh, PA, US
Base: $80,000.00 – $209,300.00; bonus/equity: ince...
Master's degree in quantitative field
Proficiency in python, pyspark, r, sql
Experience with logistic regression and clustering
This role involves building innovative Anti-Money Laundering models using advanced statistical techniques like gradient boosting and neural networks

Job Summary

  • This role involves building innovative Anti-Money Laundering models using advanced statistical techniques like gradient boosting and neural networks.
  • The successful candidate will collaborate with key stakeholders across the bank to identify risk indicators and improve existing monitoring strategies.
  • PNC offers a comprehensive benefits package including medical coverage, 401(k) matching, and up to 25 vacation days depending on career level.

Matching Summary

This role involves building innovative Anti-Money Laundering models using advanced statistical techniques like gradient boosting and neural networks.

Salary

Base: $80,000.00 – $209,300.00; Bonus/Equity: Incentive eligible based on performance; Benefits: Medical, dental, vision, 401(k) match, pension

Skills & Requirements

Must-have

  • Master's degree in quantitative field
  • Proficiency in Python, PySpark, R, SQL
  • Experience with logistic regression and clustering
  • Knowledge of AML fraud modeling
  • Expertise in model risk governance

Nice-to-have

  • Experience developing GenAI solutions
  • Familiarity with AWS, Google Cloud, or Azure
  • Strong presentation skills to non-technical stakeholders
  • Hands-on experience with neural networks
  • Ability to manage multiple projects simultaneously

Key Requirements

  • 8+ years of industry relevant experience
  • Master's degree or higher required
  • No visa sponsorship provided

Work Rights

Not specified

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