Senior Treasury Modeling Scientist & Research Lead

Charles Schwab Corporation; Lone Tree (CO); On-site; USD 150,000 - 190,000; Full time

Job summary

Charles Schwab Corporation in Colorado is seeking a Sr. Manager (Modeling Research) to lead the development of forecasting, pricing, and segmentation models across deposits, margins, and on-/off-balance sheet products.

The role emphasizes publishing quantitative research, building production-grade models, and collaborating with a wide range of stakeholders to inform strategic decisions and improve forecasting accuracy.

Qualifications

• Ph.D. in Physics, Applied Math, Engineering or related quantitative field.
• Proven track record of publishing quantitative research.
• At least 5 years of work experience as a quantitative modeler with large datasets.
• Ability to develop new models and rigorously test them.
• Deep understanding of structural and statistical modeling concepts.
• Strong programming skills in Python and C++.
• Experience with SQL and data visualization.
• Excellent communication and collaboration.

Responsibilities

• Gain a deep understanding of forecasting models measuring market risk across balance sheet products.
• Analyze large datasets to support decisions for Schwab’s balance sheet and clients.
• Develop new models for margin and deposit products, including papers and maintenance.
• Refine structural and quantitative models using granular data and apply ML selectively.
• Advance data science, engineering, and modeling capabilities within the organization.

Skills

Python

C++

SQL

Statistical modeling

Structural modeling

Research publication

Communication

Team collaboration

Change management

Education

Ph.D. in Physics, Applied Mathematics, Engineering or related field

Job description

Charles Schwab Corporation in Colorado is seeking a Sr. Manager (Modeling Research) to lead the development of forecasting, pricing, and segmentation models across deposits, margins, and on-/off-balance sheet products.

The role emphasizes publishing quantitative research, building production-grade models, and collaborating with a wide range of stakeholders to inform strategic decisions and improve forecasting accuracy.