Data Scientist - Commodities

Qube Research & Technologies; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global quantitative investment manager in London seeks a Data Scientist to collaborate with trading desks and data engineers. The role involves managing data pipelines, implementing transformations, and onboarding datasets. Candidates should possess strong Python skills, a postgraduate degree in a quantitative field, and 3+ years of relevant experience. This position offers a dynamic work environment focused on innovation and collaboration.

Benefits

Work-life balance initiatives

Diversity empowerment programs

Qualifications

• 3+ years of experience as a Data Scientist or similar position.
• Demonstrable interest in financial markets.
• Experience with traditional and alternative financial datasets.

Responsibilities

• Collaborate with trading desk to implement data pipelines.
• Design code to extract, clean, and aggregate data.
• Manage onboarding process of new datasets.

Skills

Experience in a buy-side quantitative finance role

Advanced programming experience in Python

Proficiency with Pandas and NumPy

Excellent communication skills

Ability to work in a high-performance environment

Education

Postgraduate degree in a quantitative discipline

Job description

Overview

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. 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.