Senior Treasury Modeling Researcher

Charles Schwab; Westlake (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

401(k) with company match

Paid time off & sabbatical after years

Parental leave

Tuition reimbursement

Health insurance

Job summary

Charles Schwab in Westlake, TX invites a Sr. Manager (Modeling Research) to lead the Product Modeling efforts within Treasury Modeling, developing forecasting, pricing, and segmentation models for deposits and margins, combining structural modeling with data analytics.

The role emphasizes publishing quantitative research, collaboration with stakeholders, and delivering production-grade models under change management; deep expertise in modeling and strong programming skills are essential.

Qualifications

• Ph.D. in Physics, Applied Mathematics, Engineering, or a related quantitative field.
• Proven track record of publishing quantitative research.
• 5+ years of work experience as a quantitative modeler with large datasets.
• Ability to develop new models and rigorously test them.

Responsibilities

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

Skills

Quantitative modeling

Structural modeling

Data manipulation

Model publishing

Team collaboration

Communication skills

Python

C++

SQL

Change management

Education

Ph.D. in Physics/Applied Math/Engineering

Tools

Python

SQL

C++

Job description

Overview

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.

As a Sr. Manager (Modeling Research) you will be part of the Product Modeling team within the Treasury Modeling department. The Product Modeling team develops forecasting, pricing, and segmentation models across deposits, margins, and other on‑/off‑balance sheet products, combining structural modeling, quantitative research, and data-driven analytics to support recurring business forecasts.

This role is research-focused, primarily centered on developing new models and enhancing existing models. It requires a proven track record of publishing quantitative research.

To Succeed In This Role

• Possess solid programming and data manipulation skills, allowing extraction of valuable insights from large datasets and writing production‑level code under a rigorous change management process;
• Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning experience is helpful but not the primary focus of the role; and
• Be an excellent team player and a trusted advisor collaborating with other team members as well as being ready to present results and observations to a wide group of stakeholders.

Required Skills

• Ph.D. in Physics, Applied Mathematics, Engineering, or a related quantitative field, with strong experience in building structural or mechanistic models.
• Proven track record of publishing quantitative research.
• At least 5 years of work experience, preferably in a large financial company, as a quantitative modeler working with large and complex datasets, with consideration given for post‑graduate research.
• Ability to develop new models, improve the efficacy of existing models and rigorously test them.
• Deep understanding of structural, statistical, and quantitative modeling concepts, with practical experience developing models grounded in underlying system dynamics, economic behavior, or other interpretable drivers.
• Proven track record in developing, deploying and maintaining models.
• strong programming skills in a modern programming language (e.g., Python, C++) and familiarity with object‑oriented coding principles.
• Experience with a modern software change management process.
• Advanced experience in extracting data from relational databases (e.g., via SQL).
• Experience in visualizing data analytics and model results.
• Strong work ethic, high self‑motivation, proactive approach, attention to detail and ability to deliver under tight deadlines.
• Excellent communication skills, both verbal and written.
• Strong inter‑personal skills and a collaborative team player.

Preferred Skills

• Prior work experience in a Treasury department of a large financial firm.
• Prior experience modeling deposits, margin, and other balance sheet products.
• Experience applying structural or mechanistic models in a production environment.
• Experience with time‑series, dynamic systems, or behavioral modeling in applied settings.
• Familiarity with machine learning methods where they complement structural modeling objectives.

What You'll Do

• Gain a deep understanding of the various forecasting models which measure the market risk in financial projections associated with a diverse set of products across the balance sheet.
• Analyze large datasets to extract insights into Schwab’s balance sheet and clients, and to provide analytical support for strategic decisions.
• Develop new models for margin and deposit products, including research, writing of model white papers and technical papers, and model maintenance.
• Develop and refine structural and quantitative models using granular datasets to improve forecasts and understand customer and product behavior; apply machine learning techniques selectively where they provide incremental value.
• Leverage industry opportunities to expand the organization’s capabilities in data science, engineering, and modeling techniques.

In addition to the salary range, this position is also eligible for bonus or incentive opportunities.

Benefits

• 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