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. 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 the trading desk to design and implement their data pipelines
Collaborating with data engineers to onboard relevant datasets for the desk within QRT
Implementing data transformations to produce high added-value datasets used for investment decisions
Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
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
Demonstrable 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.

Roll

Data Scientist - Commodities

Kategori

MF-DSA

Plats

Aarhus

Publicerad

8 maj

Sista ansökningsdag

16 augusti

Taggar för det här jobbet

MF-DSA

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