Investigo
VP Liquidity & Market Risk Management
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VP Liquidity and Market Risk Management | £100-113K base | Hybrid | London
A leading global financial market infrastructure organisation is seeking a Vice President, Liquidity & Market Risk Management to join its London-based Risk function.
This is a highly visible role focused on liquidity risk analytics, stress testing, model oversight, and market risk assessment. Working closely with senior stakeholders across Risk, Operations, and Technology, you will play a key role in assessing the impact of strategic initiatives, enhancing risk models, and supporting the resilience of a systemically important financial services platform.
Key Responsibilities:
- Perform liquidity risk analysis to assess the impact of strategic initiatives, business growth, and participant onboarding activities.
- Conduct daily, quarterly, and ad-hoc stress testing to evaluate potential settlement and liquidity disruptions under a range of scenarios.
- Analyse the impact of market, economic, and geopolitical events on liquidity and market risk exposures.
- Develop and enhance quantitative risk models, including benchmarking, monitoring, validation support, and documentation in line with model risk management standards.
- Design and implement process improvements and automation solutions to improve efficiency and strengthen risk controls.
- Produce detailed management information, risk reporting, and regulatory submissions for senior stakeholders.
- Work with large and complex datasets, applying advanced analytical techniques to support decision-making and risk oversight.
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Background:
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- 5+ years' experience within Liquidity Risk, Market Risk, Quantitative Risk, Treasury Risk, Model Risk, or a related discipline within banking, consulting, or financial services.
- Strong understanding of liquidity risk frameworks, stress testing methodologies, and quantitative risk management techniques.
- Experience supporting model governance, monitoring, validation, or model risk management processes.
- Advanced data analysis and programming skills, including Python, SQL, R, and Excel/VBA.
- Strong problem-solving, analytical, and critical-thinking capabilities.
- Excellent communication skills with the ability to present complex analysis to senior stakeholders.
- Degree in Finance, Economics, Mathematics, Computer Science, or another quantitative discipline. Advanced qualifications are advantageous.
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