Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Manager, Risk Analytics and Modeling role.
Rezi rewrites your resume against Charles Schwab Inc.'s job description. Free.
Tailor your resume to this Senior Manager, Risk Analytics and Modeling role.
Rezi rewrites your resume against Charles Schwab Inc.'s job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Manager, Risk Analytics and Modeling posting at Charles Schwab Inc. — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Manager, Risk Analytics and Modeling posting at Charles Schwab Inc. — free, in seconds.
About the Role
Schwab empowers you to make an impact on your career. Innovative thought meets creative problem solving, helping to transform the finance industry. This role focuses on model validation and broader Model Risk Oversight initiatives, requiring strong quantitative skills and business experience with fraud and anti-money laundering models.
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.
Requirements
- 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.
- 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.
Skills
- Python
- SAS
- R
- Statistical programming languages
- Machine learning models
- Digital assets
- Large, unstructured data sets
- Digital asset regulations
- Fraud
- AML
- CFA
- FRM
- ACAMS
- Quantitative finance
Location
- Listed areas
Work Type
- Hybrid work model (4 days in-office, 1 day working from home)
- Full-time
Experience Level
- Senior Manager
- Less experienced candidates may be considered for junior roles
Education Level
- Advanced degree in statistics, mathematics, physics, engineering, economics, or a related quantitative field.
- Ph.D. in quantitative fields, such as data science, statistics, mathematics, physics, or engineering.
About the Company
- At Schwab, you’re empowered to make an impact on your career.
- Innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
- 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.