Financial Crimes Senior Model Validator

Your opportunity

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 Manager position, focused on model validation and broader contributions to the Model Risk Oversight team. Candidates should possess strong quantitative skills and a solid understanding of the application of digital assets, fraud, Bank Secrecy Act (BSA), and anti-money laundering (AML) models within a business context. Candidates must demonstrate understanding of crypto trading and crypto transfers using blockchain technology, including skills in distributed ledger analysis, cryptographic protocols, on-chain analytics, blockchain tracing, smart contract evaluation, wallet management, and transaction monitoring for digital assets.

*This is an individual contributor position.

Job responsibilities include:

• Validating models used for the detection and prevention of financial crimes, including those related to digital assets, fraud, BSA, AML, and cybersecurity, in accordance with SR 11-7, with assessments covering conceptual soundness, performance monitoring, data integrity, and other relevant model validation areas.

• 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.

What you have

Required Qualifications:

• 5+ years of relevant work experience.

• Solid understanding of regulations and compliance related to digital assets, fraud, BSA, AML, and cybersecurity.

• Solid knowledge and understanding with model governance and related regulatory guidance.

• Advanced degree in statistics, math, physics, engineering, or economics.

• Proficient in Python, SAS, R, and other statistical or programming languages.

Preferred Qualifications:

• 5+ years of work experience in model validation.

• 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.