Responsibilities
:
1. Develop and maintain the infrastructure supporting the entire investment process.
2. Build and maintain a data warehouse, including setting up an ETL process to extract data from both internal and external sources.
3. Process and analyse large datasets.
4. Create trading dashboards for use by the trading team.
5. Automate trade execution and assist in the development of execution algorithms.
Preferred Technical Skills:
6. Proficiency in Python and C++.
7. Degree inputer Science, Engineering, Applied Mathematics, Statistics, or a related STEM field (Undergraduate, Master's, or PhD).
8. Strongmunication, analytical, and problem-solving skills.
9. Experience in data scraping, data cleaning, and data visualisation.
10. Proven ability to work with large datasets.
11. Demonstrated expertise in statistical analysis.
Preferred Experience:
12. Minimum of 2 years in finance (strong candidates from the technology sector will also be considered).
Highly Valued Experience:
13. Experience in developing algorithmic trading systems.
Job ID PR/501972