Data Scientist - Pricing

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.

You will work within a data focused function supporting researchers, traders and engineering teams across the firm. The role focuses on designing and developing datasets that support systematic strategies and trading decisions, while improving the robustness and scalability of data onboarding processes. You will collaborate closely with technical and business stakeholders to help accelerate the use of both traditional and alternative datasets.

Your future role within QRT

Collaborate with quantitative researchers and traders to design datasets supporting systematic strategies and trading decisions

Develop code to extract, clean and aggregate data from a wide range of structured and unstructured sources

Build and maintain robust data pipelines covering sourcing, transformation and delivery workflows

Work with engineering teams to automate and optimise data extraction and processing systems

Investigate and resolve data related issues to reduce time to production

Evaluate and implement new approaches for data extraction and onboarding

Your present skillset

2 or more years of experience as a Data Scientist or in a similar data focused role working with financial market data

Experience within quantitative finance or buy side environments is beneficial

Strong understanding of financial markets and financial instruments

Postgraduate degree in Mathematics, Physics, Engineering or another quantitative discipline

Advanced Python programming skills, including experience with libraries such as Pandas and Polars

Proven experience building and managing end to end data pipelines

Experience working with both traditional and alternative datasets

Strong communication skills with the ability to collaborate across research, trading, engineering and external stakeholders

Ability to operate effectively in a fast paced 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.