Data Scientist

Qube Research & Technologies; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist to join their Data Search & Analytics team. In this pivotal role, you will bridge the gap between research and trading, leveraging data to drive systematic strategies and optimize trading decisions. Your expertise in Python and data handling will be crucial as you collaborate with quantitative researchers and engineers to innovate data extraction methods. This dynamic firm values diversity and promotes a healthy work-life balance, making it an ideal environment for those passionate about data and finance. Join a culture of innovation where your contributions will directly impact high-quality returns for investors.

Qualifications

• 3+ years of experience in Data Science, preferably in quantitative finance.
• Proficiency in Python and data handling libraries like Pandas and NumPy.

Responsibilities

• Collaborate with researchers and traders to design datasets for strategies.
• Prototype code to extract and clean data from various sources.
• Innovate data extraction methods to enhance onboarding processes.

Skills

Data Science

Python

Pandas

NumPy

Quantitative Analysis

Communication Skills

Education

Postgraduate degree in Mathematics

Postgraduate degree in Physics

Postgraduate degree in Engineering

Job description

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.