Company Overview:
A leading global hedge fund renowned for their innovative approach to investment management. The firm is committed to harnessing the latest advancements in technology and data science to make informed, strategic investment decisions. With a strong emphasis on collaboration and a dynamic work environment, they strive to attract top talent who are passionate about driving industry advancements and achieving excellence. This role sits with one of their systematic equity portfolio management teams comprised of quantitative researchers and developers.
Key Responsibilities:
The ideal candidate will significantly enhance and sustain the systematic investment framework, which includes:
- Data Engineering: Developing and managing robust data pipelines.
- Machine Learning: Creating and refining machine learning systems.
Qualifications:
- Educational background in a STEM field.
- Proficient in high-level coding (production level) using Python and SQL.
- Familiarity with version control systems (e.g., GitHub).
- Experience in cloud-based development (AWS services such as EC2, Batch, S3, and CloudWatch).
- Knowledge of job schedulers (e.g., Airflow).
- Competency with Unix systems.
- Understanding of best practices in coding, testing, and deployment processes.
- Prior experience in quantitative development.
- Proven experience in data-pipeline architecture.
Preferred Background:
- Advanced degree in a STEM discipline.
- Relevant experience in asset management, specifically in equities.
- Insights into equity markets.
