Senior Manager, Risk Analytics and Modeling

Job description

Your opportunity At Schwab, you’re 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.

Please note

This position is M-F during standard business hours with a hybrid work model (4 days in-office, 1 day working from home). It is only available in the areas listed. Candidate must reside or be willing to relocate on their own to one of the listed areas. Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship. Model Risk Oversight is a strategic function within Corporate Risk Management that uses advanced quantitative methods and a broad range of models to support innovative client solutions and manage financial and reputational risk.

The team identifies, reviews, and monitors models used across the organization. We are seeking candidates for a Senior Manager individual contributor role focused on model validation and broader Model Risk Oversight initiatives. Candidates should have strong quantitative skills and business experience with fraud and anti-money laundering models. Less experienced candidates may be considered for junior roles.

Job responsibilities include: 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.

What you have Required Skills and 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.

Preferred Skills and Qualifications

Ph.D. in quantitative fields, such as data science, statistics, mathematics, physics, or engineering. Experience developing and applying machine learning models. 5+ years of model validation experience. 2+ years of experience with digital assets. Experience working with large, unstructured data sets. Knowledge of digital asset regulations, fraud, and AML. CFA, FRM, ACAMS, or digital asset certifications. Quantitative finance experience.

Strong verbal and written communication skills. Strong interpersonal skills. Excellent relationship-building skills. What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance