Senior Manager - ALM Technology And IRRBB

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth.

Job Summary

PwC is seeking a highly skilled professional with deep technical and functional expertise to join our Financial Services Risk & Regulatory Advisory practice. This role will help define, implement and transform the frameworks for Asset Liability Management (ALM) and Interest Rate Risk in the Banking Book (IRRBB) at leading US-based and regional banks by using advanced analytics, strategic data architecture, and cutting-edge technology. You will be expected to solve through complexity, ask thoughtful questions, and clearly communicate how all pieces fit together while growing as a strategic advisor that leverages influence, expertise, and network to deliver quality results.

Job Requirements And Preferences

Preferred Knowledge/Skills for Role

• Lead or support the implementation, configuration and ongoing optimization of ALM platforms (QRM, Empyrean or equivalent) to support evolving risk frameworks.
• Design and enhance Net Interest Income (NII) and Economic Value of Equity (EVE) simulations in conjunction with stress testing models to assist in meeting business and regulatory requirements.
• Integrate behavioral modeling assumptions (e.g., prepayment, early withdrawal, non-maturity deposit behavior) into IRRBB risk analytics to improve the accuracy of forward-looking forecasts.
• Drive regulatory compliance and reporting transformation for IRRBB under Basel III/IV, OCC/FDIC expectations, and internal risk appetite frameworks.
• Develop or support the design of data architecture and data flows used in ALM systems to ensure traceability, accuracy, and auditability of source-to-report data.
• Collaborate across treasury, risk, finance, and technology teams to align ALM model integration, governance, and validation processes.
• Support the development of ALM/IRRBB policies and frameworks to establish governance structures, risk limits and control standards.
• Support the implementation of Python- and SQL-based analytics that will be used for custom IRRBB simulations, stress testing, and reporting.
• Participate in regulatory exams, MRA/MRIA remediation while designing comprehensive, audit-ready ALM processes.
• Contribute to PwC’s internal capability building, thought leadership, and client proposal development in the ALM & IRRBB space.
• Manage client feedback and navigate ambiguous situations to deliver on client requests while building relationships with internal and client stakeholders.
  
  

• Bachelor’s in Finance, Economics, Engineering, Mathematics, or related quantitative field. (Tier I colleges and Master’s degree preferred)
• 8–15 years of relevant experience in ALM, Treasury Technology, IRRBB modeling, or risk/finance transformation projects.
• Strong functional knowledge and hands-on experience with QRM, Empyrean, or similar ALM systems.
• Proven experience developing NII and EVE models, incorporating behavioral assumptions, and conducting comprehensive IRRBB stress‐testing exercises to meet regulatory and internal requirements.
• Proficient in SQL, Python or equivalent tools for integrating ALM models and performing advanced analytical tasks.
• In-depth understanding of data sourcing, lineage and aggregation practices as it relates to ALM systems, including the design and documentation of reconciliation controls for end-to-end data pipelines.
  
  

• Experience working with US banking clients, particularly in regulatory transformation initiatives.
• Demonstrate knowledge of the macroeconomic and regulatory environment as they relate to financial institutions.
• Knowledge of balance sheet management, asset liability management (ALM), funds transfer pricing (FTP), capital management, financial performance management and hedging.
• Knowledge of liquidity management, including intraday liquidity management, cash management, cash flow forecasting, and funding planning
• Experience in business process design, modeling, and automation as well as related tools (e.g., bots, visualization)
  
  

• Ability to identify and address client needs by building, maintaining, and utilizing networks of client relationships and community involvement, communicating value propositions, managing resource requirements, project workflow, budgets, billing and collections, and preparing and/or coordinating complex written and verbal materials using extensive technical skills in MS Office
• Ability to communicate complex messages clearly and concisely in verbal and written form
• Consideration of cross-cultural differences, seeking diverse views to encourage improvement and innovation, and fostering a global mindset for the team.