Senior Model Validator - Financial Crime & AML (Hybrid)

Charles Schwab

Omaha (NE)

Hybrid

USD 130,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

401(k) with company match
Employee stock purchase plan
Paid vacation and sabbatical
Paid parental leave
Tuition reimbursement
Health, dental, and vision insurance

Job summary

Charles Schwab seeks a Senior Manager in Model Risk Oversight to validate models, support governance, and lead validation initiatives. The role focuses on fraud and AML models with senior management exposure.

Strong quantitative background and programming skills are required, with a preference for experience in model validation and digital assets. Hybrid model; geographic flexibility within eligible areas.

Qualifications

  • 2+ years of experience in fraud monitoring and AML.
  • 5+ years of quantitative experience.
  • Advanced degree in statistics, mathematics, physics, engineering, economics, or a related quantitative field.
  • Knowledge of model governance and U.S. banking regulations.
  • Proficiency in Python, SAS, R, or other statistical programming languages.

Responsibilities

  • Validate models in accordance with SR 26-2, including model use, documentation, conceptual soundness, data integrity, controls, and software.
  • Prepare model validation reports and present findings to model owners and senior management.
  • Partner with internal analysts and external consultants on validation activities.
  • Evaluate model performance monitoring and complete annual model reviews.

Skills

Fraud monitoring
Anti-money laundering
Quantitative analysis
Model risk oversight
Communication skills

Education

Advanced degree in quantitative field
PhD in quantitative field

Tools

Python
SAS
R

Job description

Charles Schwab seeks a Senior Manager in Model Risk Oversight to validate models, support governance, and lead validation initiatives. The role focuses on fraud and AML models with senior management exposure.

Strong quantitative background and programming skills are required, with a preference for experience in model validation and digital assets. Hybrid model; geographic flexibility within eligible areas.

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