
Qube Research & Technologies · Hong Kong
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a ...
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
This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative
researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation,
and ensure data quality.
Your present skillset
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.
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. We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm. Your future role within QRT This team is integral to the firm’s success. As such, your responsibilities will include: * Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions * Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats * Working with Engineers to automate and optimise your code, ensuring robust data extraction processes * Managing the end-to-end process of onboarding new datasets * Proactively solving data related problems to minimise time to production * Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit Your present skillset * 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous * Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. * Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy * Demonstratable interest in financial markets and the application of data in its analysis and understanding * Experience working with both traditional and alternative financial datasets * Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors * Ability to work in a high-performance, high-velocity environment 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.
DAS WICHTIGSTE ZUERST Gehalt — 16 EUR pro Stunde Standort — Remote, Arbeitserlaubnis in Deutschland ist nötig Arbeitszeit — Arbeite wann es in deinen Tag passt, 20h/Woche Möglicher Start — Frühstmöglich DEINE AUFGABEN Als Data Support Engineer (Working Student) unterstützt du uns dabei, die Datenqualität von Parqet weiterzuentwickeln und zu verbessern. Du wirst insbesondere daran arbeiten, Daten automatisiert zu beschaffen und zu korrigieren um die Datenqualität von Parqet zu verbessern. Zudem hilfst du im Support, in welchem Nutzer Datenprobleme melden. * Aktive Kommunikation mit der Community per Email um Datenanfragen effektiv zu bearbeiten und mögliche Fehler oder Verbesserungen intern zu dokumentieren und zu beheben * Sicherung und Weiterentwicklung der Datenqualität für Daten von Assets und Daten-Tools * Enge Zusammenarbeit mit anderen Developern, dem Support & Product Management um Anforderungen und Feedback schnell umzusetzen DEIN PROFIL Du passt zu uns, wenn du... * mindestens noch 6 Monate eingeschriebener Student bist * eine starke Affinität für einfach zu nutzende Software hast und dich die Idee, an der Verbesserung von Parqet mitzuarbeiten, begeistert * solide Kenntnisse in Python mitbringst und idealerweise schon mit großen Datenmengen gearbeitet hast * Freude daran hast, technische Probleme eigenständig zu analyisieren und pragmatische Lösungen zu entwickeln * strukturiert arbeiten kannst und ein Auge fürs Detail hast, besonders bei der Datenverarbeitung * optimalerweise Parqet bereits selbst nutzt und gut kennst * dich für Fintechs, Investments und benutzerfreundliche Software begeisterst * Lust hast in einem dynamischen Team direkten Impact auf potenziell tausende Nutzer zu haben. Wir erwarten nicht, dass eine einzige Person alle Punkte erfüllt.
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 This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality. * Provide first-line support to researchers and traders for data access ad usage. * Collaborate with data engineers to resolve data issues. * Onboard new hires and train them on using data tools and processes efficiently. * Manage JIRA workflows, track support requests, and ensure timely resolution of data issues. * Contribute to data documentation. * Contribute to extending data coverage (live collection and backfills) Your present skillset * A bachelor’s degree in Data Science, Computer Science, Finance, or a related field. * Experience in data support, IT helpdesk, or technical support, ideally within finance. * Strong command of Python and data libraries. * Proficiency with data systems, pipelines, and APIs. * Experience with JIRA or similar project management tools. * Strong problem-solving skills, communication abilities, and attention to detail. Base salary range for this position is $150,000 to $180,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.