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Risk Reporting & Analytics Lead

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and d

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Qube Research & Technologies London Source published Sep 20, 2026 Verified 29 minutes ago
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Overview

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and d

Full job description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.    Join our risk team in London as a Risk Analytics Associate, supporting some of the firm’s most complex and high-impact initiatives. Role responsibilities Perform detailed analysis of VaR, stress and scenario results, identifying key drivers and escalating material risks in partnership with trading and risk management teams Produce, enhance and interpret sophisticated risk analytics and reporting across multi-asset portfolios, including systematic strategies Support day-to-day risk monitoring processes while contributing to longer-term enhancements of the risk analytics framework Work closely with front office traders, quants and senior risk stakeholders to provide actionable risk insight Liaise with further stakeholders across the firm, including the wider risk function, operations, and senior leadership Required experience and skills Degree in Mathematics, Physics, Statistics, Engineering, or a related scientific discipline 5–10 years’ experience in a comparable risk, analytics, or quantitative role High level of technical proficiency, including Python Experience in market risk management is advantageous Strong attention to detail and a high standard of analytical accuracy Clear and effective written and verbal communication skills Strong problem-solving ability

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