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Manager, AI & Data Science

Charles Schwab

About the Role
Develop and maintain forecasting models measuring market risk across diverse balance sheet products within the Product Modeling team of the Treasury Modeling department.
Responsibilities
- Develop and maintain forecasting models measuring market risk across diverse balance sheet products
- Analyze large datasets to extract insights supporting strategic decisions
- Work directly with Securities Lending trading desks, incorporating trading behaviors into robust analytics
- Automate models and analytics through modern software change management processes
- Support production runs and collaborate with downstream model users
- Contribute to infrastructure development for scalable forecasting and scenario analysis
- Advance AI/ML capabilities
Requirements
- Bachelor's degree in quantitative field (Applied Math, Statistics, Economics, Physics, Financial Engineering)
- Minimum 5 years experience as quantitative modeler in large financial company
- Model development, improvement, and rigorous testing ability
- Strong statistical modeling knowledge with practical data extraction experience
- Proficiency in modern programming languages (Python, C++)
- SQL database expertise
- Data visualization skills
- Excel and PowerPoint proficiency
Benefits
- 401(k) with company match and employee stock purchase plan
- Paid vacation, volunteering time, and 28-day sabbatical after 5 years
- Paid parental and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
- Hybrid work flexibility

Job Type

Job Type
Full Time
Salary Range
USD 90,000 - 150,000 yearly
Location
Lone Tree, CO 80124
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