Senior Quantitative Researcher [Tier 1 Hedge Fund, Relocation to APAC]

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Company
Selby Jennings
Job location
Eastern England, UK
Salary
Undisclosed
Posted
Hosted by
Adzuna
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Job details

Relocation to APAC - SG / HK / SHANGHAI / INDIA / DUBAI Our client is a global leader in quantitative and systematic investment management, focusing on all liquid asset classes across the globe. They leverage technology and data to apply a scientific approach to investing. By combining expertise in data, research, technology, and trading, they have developed a collaborative culture that allows them to tackle even the most challenging problems. Their commitment to innovation continually drives their pursuit of delivering exceptional returns for their investors. Responsibilities: Focus on generating high-quality predictive signals. Utilize extensive and diverse datasets to uncover statistical patterns and opportunities. Collaborate with fellow researchers to share and discuss findings, methodologies, datasets, and processes. Integrate signals and associated datasets into the global execution platform. Continuously monitor signal behavior and model performance over time. Lead the entire strategy research cycle, from signal creation to implementation. Skillsets: 4-8 years of hands-on experience as a quant researcher, trader, or in data science/machine learning. Not open to students or recent graduates Advanced degree in a quantitative discipline such as data science, statistics, mathematics, physics, or engineering. Strong background in statistics, machine learning, NLP, or AI techniques is advantageous. Ability to multitask in a fast-paced environment while maintaining a high level of attention to detail. Proficiency in coding with at least one major programming language (Python and/or C++) Experience working with large datasets across various time frames is beneficial. Intellectual curiosity to explore new datasets, solve complex problems, innovate processes, and connect ideas across different fields. Ability to work independently in a supportive and collaborative environment. Strong communication skills to liaise with technologists, data scientists, and traders globally. Proven success in delivering effective systematic strategies.
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