Senior Manager, Hybrid Model Risk & AML Analytics

Charles Schwab Corporation

Southlake (TX)

Hybrid

USD 130,000 - 180,000

Full time

4 days ago
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Job summary

Charles Schwab Corporation is seeking a Senior Manager in Model Risk Oversight focused on model validation and related initiatives. The role emphasizes fraud and AML models, with potential for junior responsibilities for less experienced candidates.

Responsibilities include validation per SR 26-2, reporting to model owners and senior management, collaboration with internal analysts and external consultants, and annual reviews of model performance and governance.

Qualifications

  • 2+ years of experience in fraud monitoring and anti-money laundering.
  • 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
Quantitative analysis
Python/SAS/R
Model governance
US banking regulations
Communication skills

Education

Advanced degree in quantitative field
PhD in data science / quantitative field

Job description

Charles Schwab Corporation is seeking a Senior Manager in Model Risk Oversight focused on model validation and related initiatives. The role emphasizes fraud and AML models, with potential for junior responsibilities for less experienced candidates.

Responsibilities include validation per SR 26-2, reporting to model owners and senior management, collaboration with internal analysts and external consultants, and annual reviews of model performance and governance.

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