Senior AML & Fraud Model Validator

Charles Schwab; Southlake (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Vacation & sabbatical after years of服务

Parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab seeks a Senior Manager in Model Risk Oversight to lead validation efforts and drive risk management across financial models. The role emphasizes fraud and AML models, governance, and collaboration with internal teams and external consultants.

The position requires strong quantitative skills, an advanced degree, and proficiency in Python/SAS/R. It offers a hybrid schedule (4 days in-office, 1 day remote) and opportunities for growth within Corporate Risk Management.

Qualifications

• 2+ years of experience in fraud monitoring and AML.
• 5+ years of quantitative experience.
• Advanced degree in statistics, mathematics, physics, engineering, economics, or 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 per 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

Python

SQL/R

Education

Advanced degree in statistics/related field

Relevant quantitative field (math/physics/engineering/economics)

Tools

SAS

Job description

Charles Schwab seeks a Senior Manager in Model Risk Oversight to lead validation efforts and drive risk management across financial models. The role emphasizes fraud and AML models, governance, and collaboration with internal teams and external consultants.

The position requires strong quantitative skills, an advanced degree, and proficiency in Python/SAS/R. It offers a hybrid schedule (4 days in-office, 1 day remote) and opportunities for growth within Corporate Risk Management.