Qube Research & Technologies

Data Scientist

Paris · Work style not stated

Posted over 6 months ago: check it’s still open

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerQube Research & Technologies
LocationParis
Work styleWork style not stated
Employer posted3 years ago

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 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:

Sourcing, designing and onboarding new datasets according to trading desks’ priorities
Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
Proactively solving data related problems in order to minimise time to production
Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production

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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.

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