Senior Treasury Modeling Researcher

About the role

The Senior Manager (Modeling Research) within the Product Modeling team within the Treasury Modeling department is responsible for developing and enhancing forecasting, pricing, and segmentation models across deposits, margins, and other on-/off-balance sheet products. This role focuses on creating new models and improving existing ones, leveraging structural and mechanistic modeling, statistical analysis, and data-driven approaches.

Responsibilities

• Gain a deep understanding of forecasting models related to market risks in financial projections for various products across the balance sheet.
• Analyze large datasets to extract insights into Schwab’s balance sheet and client behavior, supporting strategic decision-making.
• Develop new models for margin and deposit products, including research, writing model white papers, and maintaining models.
• Apply structural and quantitative models to granular datasets to improve forecasts and understand customer and product behavior, using machine learning techniques selectively where appropriate.
• Leverage industry opportunities to enhance the organization’s capabilities in data science, engineering, and modeling techniques.

Requirements

• 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 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.

Qualifications

• 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.

Skills

• Programming and data manipulation skills, including extraction of valuable insights from large datasets and writing production-level code under a rigorous change management process.
• Deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up.
• 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.
• 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.

Benefits

At Schwab, you’ll find a competitive benefits package that supports your whole self – today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time off 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