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. Your future role within QRT: You will join a cross-functional team at the intersection of trading, data, and technology, playing a key role in building and enhancing the firm’s next-generation trading analytics and PnL infrastructure. Your responsibilities will include: Acting as a trusted partner to traders and quantitative researchers, providing insights on PnL, positions, and strategy performance Leading investigations into PnL discrepancies and trading anomalies Designing and developing dashboards and analytical tools for portfolio monitoring and management Contributing to the evolution of QRT’s reporting and analytics platforms through automation and data architecture improvements Performing reconciliations between trading, valuation, and risk systems Working closely with technology teams to build scalable data pipelines and tools Your present skillset: Strong academic background in Engineering, Computer Science, Mathematics, Quantitative Finance, or a related field Strong Python and SQL skills, with an interest in building scalable solutions Exposure to AWS cloud services is a plus Familiarity with DevOps practices and Python packaging is a plus Strong analytical and problem-solving skills Interest in financial markets, trading systems, and data infrastructure Ability to thrive in a fast-paced environment with high standards of accuracy and ownership Strong communication skills and ability to work with front-office stakeholders Collaborative mindset and intellectual curiosity Your enhanced experience and learning opportunities at QRT: Direct exposure to a front-office trading environment, working closely with traders and quantitative researchers Hands-on involvement in the development of business-critical trading analytics and PnL platforms Opportunity to contribute to large-scale data systems supporting systematic trading strategies Mentorship from experienced professionals across trading, quantitative research, and technology QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Trading Operations Analyst