At a glanceSummarised by Seekless from the posting.
Must have7
3+ years of experience as a Data Scientist or similar position
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
Ability to work in a high-performance, high-velocity environment
Nice to have1
Experience in a buy-side quantitative finance role is advantageous
Eligibility2
We welcome diversity as essential to our success
Equal opportunity employer
Skills
Python
Pandas
NumPy
About the company
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.
About the role
We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.
Your future role within QRT
This team is integral to the firm’s success. As such, your responsibilities will include:
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Sourcing, designing and onboarding new datasets according to trading desks’ priorities
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Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
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Proactively solving data related problems in order to minimise time to production
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Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production
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
Legal
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.