Manager, AI & Data Science

Pay range: USD $90,000.00 - $150,000.00 / Year

Your opportunity

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 Manager (AI & Data Science) you will be part of the Product Modeling team within the Treasury Modeling department. The Product Modeling team is responsible for data-driven deposit, margin and securities lending/borrowing analytics, developing and maintaining models that support product balance forecasting, pricing, and overall P&L management across these businesses.

A key focus of our team is to drive forward the model automation efforts across the product modeling team. We are currently building out a scalable and robust infrastructure that allows us to run forecast scenarios for BAU, market risk, and interest rate risk in a highly automated and controlled fashion. Additionally, our team is at the forefront of researching and developing new analytics explaining movements in deposits, margin loans and securities lending/borrowing over various time frames. Based on these analytics, we develop new models that go through a rigorous model validation process. Our analytics and models provide valuable and actionable insights to senior stakeholders not only within Treasury, but also across the broader Finance organization and the firm overall.

In this role you will have the opportunity to use a wide variety of skills. Your highly quantitative background combined with your strong programming and data manipulation skills allows you to extract valuable insights from large datasets. Your strong modeling background enables you to condense your observations into robust models and your strong programming experience allows you to write production-level code under a rigorous change management process. And your entrepreneurial spirit helps you to find opportunities to improve the bottom line of the Securities Lending business. While doing all this, you collaborate closely and are ready to present your results and observations to a wide group of stakeholders.

If you are looking for a role where you can leverage all these skills and want to be part of a very impactful and driven team within the Treasury organization, we encourage you to apply.

What you have

Required skills

• Bachelor's degree with a strong quantitative component (Applied Math, Statistics, Economics, Physics, Financial Engineering)
• At least 5 years of work experience in a large financial company as a quantitative modeler with consideration given for graduate degrees
• Ability to develop new models, improve efficacy of existing models and rigorously test them
• Solid understanding of statistical and quantitative modeling concepts and practical experience using statistical techniques to extract insights from large datasets
• 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 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 verbally and written
• Strong inter-personal skills and a collaborative team-player
• Advanced skills in Excel and PowerPoint

Preferred skills

• Graduate degree (Master of Science/Ph.D.) in a quantitative discipline (Applied Math, Statistics, Economics, Physics, Financial Engineering)
• Prior work experience in a Treasury department of a broker-dealer
• Prior experience modeling equity-linked products
• Prior experience in securities lending is a plus

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 data sets to extract insights into various products, and to provide analytical support for strategic decisions.
• Apply deep understanding of broker-dealer operations to work directly with the Securities Lending and Borrowing trading desk, incorporating trading behaviors, market structure, and balance and P&L drivers into robust analytics and forecasting and pricing models. This includes research, writing of model white papers and technical papers and model maintenance.
• Automate models and analytics via a modern software change management process.
• Support production runs and closely work with downstream users of our models and analytics.
• Contribute to the future state of model development infrastructure and data patterns supporting scalable forecasting, pricing, and scenario analysis, while advancing AI/ML capabilities.
• 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.

What's in it for you

At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you - both today and in the future:

• 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

Client-provided location(s): Lone Tree, CO

Job ID: CharlesSchwab-2026-119238

Employment Type: OTHER

Posted: 2026-02-20T19:16:03