Posted 6d ago

Senior Specialist, Financial Crimes and Digital Assets

@ Charles Schwab
Southlake or Omaha or Orlando or Austin
$75k-$105k/yrOnsiteFull Time
Responsibilities:Validating models, Delivering reports, Collaborating with analysts
Requirements Summary:Advanced degree in statistics, math, physics, engineering, or economics; proficiency in Python, SAS, R; model validation experience preferred; knowledge of digital assets regulatory landscape.
Technical Tools Mentioned:Python, SAS, R
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Job Description

At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

 

Model Risk Oversight serves as a strategic function within Corporate Risk Management, leveraging a wide range of models to develop innovative client solutions and effectively manage financial and reputational risks through advanced quantitative methodologies. The Model Risk Oversight team is responsible for identifying, reviewing, and monitoring all models deployed across the organization.

 

We are seeking applications for the Senior Specialist, focused on model validation and broader contributions to the Model Risk Oversight team. Candidates should possess strong quantitative skills.

 

Job responsibilities include:

  • Validating models per SR 11-7, covering usage, documentation, conceptual soundness, data integrity, controls, and software.
  • Delivering model validation reports and presenting findings to model owners and senior management.
  • Collaborating with internal analysts and external consultants.
  • Reviewing model performance monitoring and conducting annual model reviews.

Required Qualifications:

  • An advanced degree in statistics, math, physics, engineering, or economics
  • Proficiency in Python, SAS, R, and other statistical or programming languages

Preferred Qualifications:

  • Experience in model validation
  • Understanding of regulations and compliance related to digital assets, fraud, BSA, AML, and cybersecurity
  • Understanding of model governance and related regulatory guidance
  • Ph.D. in quantitative discipline (statistics, mathematics, physics, economics
  • CFA, FRM, ACAMS and digital asset related certifications.
  • Experience working as a quant in the financial industry.
  • Effective communicator, both verbally and in writing
  • Strong interpersonal skills

#digitalassets