Responsibilities:
- 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
Requirements:
- 6+ 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