Data Scientist - Pricing
Mid-level Data Scientist role focused on building scalable datasets and pipelines for systematic trading strategies, bridging research, engineering, and trading teams in a quant-driven investment firm.
Skills required
About this role
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.
