Senior Treasury Modeling Researcher

About the role

The Product Modeling team within the Treasury Modeling department is seeking a Senior Manager (Modeling Research) to develop forecasting, pricing, and segmentation models across deposits, margins, and other on-/off-balance sheet products. This role is research-focused, requiring a proven track record of publishing quantitative research.

Responsibilities

• Gain a deep understanding of the various forecasting models measuring 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, providing 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.

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.
• Experience with machine learning techniques, though not the primary focus of the role.
• Excellent communication and interpersonal skills, including the ability to present results and observations to a wide group of stakeholders.

Benefits

At Schwab, you’ll find a competitive benefits package that includes:

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