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 with a strong fixed income background. In this role, you will work between the

Research and Trading desks, and the Engineering team to ensure the successful leveraging of data across the firm's fixed income

strategies and beyond.

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, particularly within fixed income, to design datasets that drive

systematic strategies and inform discretionary trading decisions

Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats, including

fixed income market data, reference data, and pricing feeds

Working with Engineers to automate and optimise your code, ensuring robust data extraction processes
Managing the end-to-end process of onboarding new datasets, with a focus on fixed income instruments such as bonds, rates,

credit, and derivatives

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

2+ years of experience as a Data Scientist (or similar position) working with fixed income data; experience in a buy-side

quantitative finance role is strongly preferred

Solid understanding of fixed income markets and instruments including bonds, interest rates, credit, yield curves, or related

derivatives

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
Proven experience building and managing data pipelines end-to-end; from sourcing and extraction through to cleaning,

processing, and delivery

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.

Role

Data Scientist - Fixed Income

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