VP - Balance Sheet Management (Quantitative research/modelling)

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Job Overview

The Balance Sheet Management Lead Analyst will drive sophisticated balance sheet architecture and QRM (Quantitative Risk Management) implementation initiatives for a global banking institution. The successful candidate will combine advanced modelling and optimization skills with strategic insight, helping shape the firm’s balance sheet infrastructure and decision-making processes. In return, they will gain exposure to senior leadership, cutting-edge treasury practices, and the transformation of the bank’s financial architecture.

Business/Team Overview

The Balance Sheet Management team is central to the firm’s treasury function, focusing on optimizing the use of financial resources across capital, liquidity, and interest rate risk. The team partners with Risk, FP&A, and Technology to deliver QRM as the bank’s enterprise ALM platform, integrating modelling, data, and analytics into a single architecture that drives long-term sustainability and profitability.

Key Responsibilities in the Role

• Balance Sheet Architecture: Design frameworks that integrate Capital, liquidity, and funding strategies into a cohesive optimization environment.
• Data Integration: Partner with engineers and data providers to ensure QRM is fully aligned with upstream and downstream data feeds.
• Optimization & Modelling: Build and enhance models to simulate, stress-test, and optimize the firm’s balance sheet.
• QRM Implementation: Lead configuration and rollout of QRM, including product hierarchies, data models, and scenario frameworks.
• Stakeholder Engagement: Translate business requirements into modelling solutions and present results to senior stakeholders.
• Governance & Compliance: Ensure all models and processes meet regulatory standards and governance frameworks.
• Mentoring & Guidance: Provide technical direction and knowledge transfer to junior team members.

Development Value

• Must-have:
  • End-to-end knowledge of Capital, Liquidity, and Interest Rate Risk management.
  • Direct exposure to senior leadership and treasury strategy.
  • Advanced technical skills in optimization and Python-based modelling.
• Nice-to-have:
• Expertise in QRM modelling, product hierarchy design, and balance sheet architecture.
• Leadership experience in guiding complex projects and mentoring junior colleagues.

Knowledge, Skills, and Experience Required

• Must-have:
  • Bachelor’s (Master’s preferred) degree in Finance, Economics, Mathematics, Computer Science, Operations Research, or related field.
  • 8–12 years’ experience in treasury, ALM, balance sheet strategy, or risk modelling roles.
  • Proficiency in Python programming and optimization techniques.
• Prior exposure to QRM or other ALM systems strongly preferred.
• Strong ability to translate financial system dynamics into models and insights.
• Curiosity and self-motivation to understand how banks work and solve problems from first principles.
• Excellent communication and stakeholder management skills.
• Solid understanding of capital, liquidity, and interest rate risk regulations.