Senior Manager - Capital Forecasting, Balance Sheet Forecasting & Analytics

Schwab Balance Sheet Forecasting & Analytics Role

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.

The Balance Sheet Forecasting & Analytics team sits within our first line of defense Corporate Treasury department. Balance Sheet Forecasting & Analytics is responsible for forecasting the balance sheets, Net Interest Income (NII) and capital actions in our business-as-usual FP&A and CCAR exercises. The team forecasts balance sheets with approximately $490 billion in consolidated assets, comprised of fixed-income investment portfolios totaling over $225 billion, consumer loan portfolios with approximately $165 billion in balance, an additional $70 billion in off-balance-sheet brokered deposit agreement notional investments, and $50 billion in derivative positions. The Balance Sheet Forecasting and Analytics responsibilities roll up to our Treasury Capital Markets (TCM) organization, which includes: ALM, fixed income investing and other balance sheet modeling activities.

Reporting to the Director, Balance Sheet Forecasting and Analytics, this role serves as a senior individual contributor responsible for advancing the transformation of Capital Stress Testing (CST) forecasting function, enhancing end-to-end analytical capabilities, and supporting the evolution of automated forecasting and reporting platforms.

You will play a key role in executing and enhancing the firm's capital forecasting process in support of the Comprehensive Capital Analysis and Review (CCCAR) and related internal stress testing. This includes developing, refining, and governing forecast methodologies for capital and related balance sheet and income statement drivers under baseline and Federal Reserve stress scenarios. This role requires strong partnership across Treasury, Finance, Risk, and Model Risk to ensure forecasts are well-controlled, transparent, and audit-ready; You will synthesize complex data and deliver clear, actionable analytics and materials for senior management and regulatory audiences.

You will also be responsible for understanding and implementing key forecast assumptions, identifying critical data inputs, and managing system and data dependencies. This role contributes to the design and implementation of scalable technology solutions that integrate large datasets across disparate systems in compliance with data governance standards.

Success in this role requires a high degree of intellectual curiosity, analytical rigor, attention to detail, and persistence ("grit") to navigate ambiguity and drive outcomes in a dynamic and evolving environment. This role requires flexibility, adaptability, and a willingness to take on new challenges as the organization continues to transform and as responsibilities evolve over time to meet changing business needs.

Scope & Ways of Working

• Operate as a hands-on analytical leader, owning complex deliverables end-to-end
• Collaborate cross-functionally to influence outcomes without direct authority
• Continuously improve processes, controls, and analytical approaches
• Demonstrate flexibility and adaptability as priorities, business needs, and regulatory expectations evolve
• Approach problem-solving with strong attention to detail, structured thinking, and resilience

Qualifications

• 7+ years relevant experience with an emphasis on a mix of the following: ALM, fixed income analytics, capital markets, CCAR/stress testing, market risk, or relevant Treasury-related functions, analytics, reporting
• Bachelor's degree required. Master's degree or CFA preferred
• Strong knowledge of Capital Stress Testing and capital forecasting
• Strong knowledge of fixed-income investment portfolio forecasting
• Expertise with Polypaths ALM, QRM, or other NIR forecasting software required
• Proven ability to operate effectively in ambiguity and drive results with persistence and ownership
• Ability to manage multiple priorities in a fast-paced environment
• Strong attention to detail, analytical and problem-solving abilities
• Excellent written and verbal communication skills, with the ability to translate technical concepts into clear insights
• Proficiency in AI, data analytics, and large enterprise databases
• Strong SQL, Python, and Copilot skills

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