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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 optimisation skills with strategic insight, helping shape the firm's balance sheet infrastructure and decision-making processes.
Job Responsibility:
Balance Sheet Architecture: Design frameworks that integrate capital, liquidity, and funding strategies into a cohesive optimisation environment
QRM Implementation: Lead configuration and rollout of QRM, including product hierarchies, data models, and scenario frameworks
Data Integration: Partner with engineers and data providers to ensure QRM is fully aligned with upstream and downstream data feeds
Optimisation & Modelling: Build and enhance models to simulate, stress-test, and optimise the firm's balance sheet
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
Requirements:
Bachelor's degree in Finance, Economics, Mathematics, Computer Science, Operations Research, or related field (Master's preferred)
6-10 years' experience in treasury, ALM, balance sheet strategy, or risk modelling roles
Prior exposure to QRM or other ALM systems strongly preferred
Proficiency in Python programming and optimisation techniques
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
Nice to have:
Master's degree in Finance, Economics, Mathematics, Computer Science, Operations Research, or related field
What we offer:
Deep expertise in QRM modelling, product hierarchy design, and balance sheet architecture
End-to-end knowledge of capital, liquidity, and interest rate risk management
Direct exposure to senior leadership and treasury strategy
Advanced technical skills in optimisation and Python-based modelling
Leadership experience in guiding complex projects and mentoring junior colleagues
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