Fraud & AML Model Validator | Quant Analytics Consultant

PNC Financial Services Group, Inc.; New York (NY); On-site; USD 91,000 - 203,000; Full time

Benefits offered by this job

Medical coverage (Health) with HSA

Dental and vision options

401(k) with PNC match

Educational assistance

Paid time off: holidays and vacation

Job summary

PNC Financial Services Group, Inc. is seeking a Quantitative Analytics and Model Consultant within Model Risk Management. You will perform independent reviews of fraud, AML, and machine-learning models, assessing data quality, assumptions, and performance.

The role requires a Master’s degree in a quantitative field, strong English communication, and hands-on experience with SQL, SAS, Python, or R. Based in New York City, Pittsburgh, or Tysons Corner with in-office expectations.

Qualifications

• Master’s degree or higher in a quantitative field such as Statistics, Finance, Economics, Operations Research, or Mathematics.
• Experience developing models or validating models within the financial services industry or academic setting is required.
• Strong English communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse stakeholders.
• Hands‑on experience with SQL, SAS, Python, or R.

Responsibilities

• Perform qualitative and quantitative assessments of models, including data quality, theoretical assumptions, and performance testing.
• Prepare detailed validation reports for internal/external communications and regulatory compliance.
• Communicate validation results clearly to both technical and non-technical audiences.
• Collaborate with model owners and developers to enhance validation processes and risk management practices.

Skills

SQL

SAS

Python

R

Model risk concepts

Communication skills

Education

Master’s degree or higher in a quantitative field

Job description

PNC Financial Services Group, Inc. is seeking a Quantitative Analytics and Model Consultant within Model Risk Management. You will perform independent reviews of fraud, AML, and machine-learning models, assessing data quality, assumptions, and performance.

The role requires a Master’s degree in a quantitative field, strong English communication, and hands-on experience with SQL, SAS, Python, or R. Based in New York City, Pittsburgh, or Tysons Corner with in-office expectations.