Quantitative Researcher - Metals / Quantitative Researcheress - Metals

Join Qube Research & Technologies (QRT)

Qube Research & Technologies (QRT) is a leading global quantitative and systematic investment manager, involved in all liquid asset classes across the globe. Our team is driven by technology and data, employing a scientific approach to investing. By merging data, research, technology, and trading expertise, QRT cultivates a collaborative mindset that allows us to tackle even the most complex challenges. Our culture of innovation continually propels us to deliver high-quality returns for our investors.

Your Future Role

This position involves a blend of fundamental and quantitative research, transforming supply and demand analysis into actionable trading opportunities, in addition to modeling, dashboard development, and trade execution.

Your Responsibilities Include:

• Creating high-quality predictive signals.
• Utilizing access to extensive and diverse datasets to identify statistical patterns and opportunities.
• Sharing and discussing research findings, methodologies, datasets, and processes with fellow researchers.
• Implementing signals and relevant datasets within our global execution platform.
• Monitoring signal behavior and model performance over time.
• Leading the full strategy research cycle from signal generation to implementation.

Your Present Skillset

• An advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering.
• Strong knowledge in statistics, machine learning, natural language processing (NLP), or artificial intelligence (AI) techniques.
• Desirable knowledge of major Asian languages.
• Ability to multitask in a fast-paced environment while maintaining strong attention to detail.
• Proficiency in at least one leading programming language (Python, R, Matlab, C++, or C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to investigate new datasets, solve complex problems, drive innovative processes, and make connections across various fields.
• Ability to work autonomously within a collegial and collaborative environment.
• Strong communication skills to liaise with technologists, data scientists, and traders worldwide.
• A proven track record in developing successful systematic strategies.

Apply online using the form below. Please note that only applications matching the job profile will be considered.