Manager – Balance Sheet Forecasting & Analytics

Charles Schwab Inc.Lone Tree, CO
$85,500 - $150,000

About The Position

The Balance Sheet Forecasting & Analytics team is a critical part of Schwab's Corporate Treasury department, operating within the first line of defense. This team is responsible for forecasting the company's balance sheets, Net Interest Income (NII), and capital actions for both regular FP&A and CCAR exercises. The forecasts cover approximately $490 billion in consolidated assets, including fixed-income investment portfolios exceeding $225 billion, consumer loan portfolios around $165 billion, $70 billion in off-balance-sheet brokered deposit agreement notional investments, and $50 billion in derivative positions. The Manager, Balance Sheet Forecasting & Analytics plays a vital role in executing these forecasting processes, generating outputs, analytics, and insights that guide senior executive decision-making, investor communications, and regulatory submissions. Reporting to the Senior Manager, this position is a key contributor to producing and explaining forecast results, ensuring alignment with strategic objectives, and consistent execution of end-to-end delivery. The Manager is part of a team of approximately four professionals located across multiple sites. This role focuses on enhancing the team's forecasting and analytical capabilities through process improvement, modeling, and automation. Key objectives include strengthening business-as-usual forecasting, deepening analytical depth, and expanding capabilities in NII forecasting, stress testing, and forward-looking scenario analysis. The Manager will contribute to the development and execution of NII forecasting frameworks, including modeling approaches, attribution methodologies, and scenario analysis to understand financial performance and its drivers. In collaboration with Finance, Risk, Technology, and other business stakeholders, the Manager will work to improve data architecture, enhance forecast integration, and strengthen end-to-end processes to boost transparency, consistency, and adaptability to changing business conditions. The role adheres to established governance frameworks and quality standards for forecasting outputs and analytical processes, while fostering a high-performing team environment focused on accountability, analytical rigor, and continuous improvement. A primary goal of this position is to help transition the team from a production-focused forecasting function to a more strategic analytical team that provides valuable insights, challenges assumptions, and supports better business and capital decisions. This role offers the chance to influence the future direction of Treasury forecasting and analytics, including advancing automation, enhancing the quality and utility of insights, and improving the integration of forecasting into enterprise decision-making.

Requirements

  • 5+ years of relevant experience across Treasury, ALM, balance sheet management, capital markets, or fixed income analytics
  • Knowledge of NII forecasting, capital management (including CCAR), liquidity management, and interest rate risk in a large financial institution
  • Strong fixed-income investment modeling and analytical expertise
  • Experience running forecasting frameworks, scenario analysis, and attribution methodologies to support management decision-making
  • Strong written and verbal communication skills, with high standards for clarity and precision
  • Proficiency in ALM / NIR / Capital forecasting platforms (e.g., PolyPaths, QRM, or similar)
  • Strong analytical judgment and disciplined decision-making
  • Ability to operate in ambiguity and develop innovative, forward-looking analyses with support of team members and manager
  • Relationship-oriented mindset with the ability to build credibility and trust across stakeholders
  • Bachelor’s degree required

Nice To Haves

  • Advanced degree preferred
  • Professional certification (e.g., CFA, FRM, PRM) preferred

Responsibilities

  • Execute forecasting processes to produce outputs, analytics, and insights that inform senior executive decision-making, investor communications, and regulatory submissions.
  • Support the end-to-end delivery, alignment to strategic objectives, and consistent execution of balance sheet forecasts.
  • Support the team’s forecasting and analytical capabilities while promoting process improvement through modeling, automation, and process efficiency.
  • Strengthen business-as-usual forecasting, enhance analytical depth, and expand capabilities across NII forecasting, stress testing, and forward-looking scenario analysis.
  • Contribute to the development and execution of NII forecasting frameworks, including modeling approaches, attribution methodologies, and scenario analysis.
  • Learn and improve data architecture, enhance forecast integration, and strengthen end-to-end processes in partnership with Finance, Risk, Technology, and other business stakeholders.
  • Abide by established governance frameworks and quality standards across forecasting outputs and analytical processes.
  • Support the evolution of the team from a forecasting production function into a more strategic analytical team that delivers insights, challenges assumptions, and supports more informed business and capital decisions.
  • Advance automation, improve the quality and usability of insights, and strengthen the integration of forecasting into enterprise decision-making.
  • Deliver clear, defensible insights to Treasury leadership and executive stakeholders, including C-suite audiences.
  • Provide forward-looking scenario analysis and articulate implications for capital, liquidity, and earnings performance.
  • Operate effectively in a high-pressure environment with frequent leadership inquiries and shifting priorities.
  • Advance forecasting capabilities across automation, data architecture, and analytical tooling.
  • Improve forecasting frameworks, attribution methodologies, and scenario analysis.
  • Support evolution from production forecasting to strategic analytics and insight generation.
  • Translate macroeconomic shifts (e.g., rate changes) into expected financial impacts and challenge model outputs accordingly.

Benefits

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