Model Validation Specialist

JCW Group; Charlotte (NC); On-site; USD 110,000 - 170,000; Full time

Job summary

JCW Group seeks an experienced professional to independently validate Fraud, Financial Crimes, and AML/BSA models using statistical methods. You will evaluate conceptual soundness and design test plans while partnering with model developers and business units.

This role supports third-party risk governance by reviewing vendor-built models and monitoring ongoing performance throughout the model lifecycle; strong Python and R skills and communication are essential.

Qualifications

• Master's degree in Statistics, Applied Math, Econometrics, or related field.
• 3+ years of model validation experience (PhD coursework may count).
• Working knowledge of Model Risk Management regulatory expectations.
• Strong knowledge of fraud and AML/BSA modeling methodologies.
• Proficiency in Python and R.
• Strong written and verbal communication skills.

Responsibilities

• Independently validate Fraud, Financial Crimes, and AML/BSA models using statistical testing.
• Evaluate conceptual soundness and assess alternative modeling approaches.
• Design and execute test plans; monitor model performance.
• Partner with model developers, owners, and business units through the lifecycle.

Skills

3+ years model validation experience

Model Risk Management

Strong communication skills

Fraud/AML modeling

Python

R

Education

Master's degree in Statistics / related quantitative field

PhD preferred in Statistics / Econometrics / Computational Finance

Tools

Python

R

Job description

• Independently validate Fraud, Financial Crimes, and AML/BSA models using statistical and quantitative testing methods
• Evaluate conceptual soundness of models and assess alternative modeling approaches
• Design and execute test plans; monitor ongoing model performance
• Partner with model developers, owners, and business units throughout the model lifecycle
• Provide independent assessment of vendor-built models to support third-party risk governance

Qualifications & Requirements

• Master's degree in Statistics, Applied Math, Econometrics, Computational Finance, or related quantitative field
• 3+ years of model validation experience (relevant PhD coursework/research may count)
• Working knowledge of Model Risk Management regulatory expectations, ideally with exam or audit support experience
• Strong knowledge of fraud and/or AML/BSA modeling methodologies
• Proficiency in Python and R
• Strong written and verbal communication skills, including ability to explain technical concepts to non-technical audiences

Preferred

• PhD in Statistics, Applied Math, Econometrics, Computational Finance, or related field
• 5+ years of model validation experience
• Experience supporting regulatory exams or audits within Model Risk Management

Schedule: Monday–Friday, standard business hours