We are collaborating with a prominent multi-strategy hedge fund to find a talented Cloud Engineer to join their newly established quantitative investment team. The individual in this role will be responsible for designing, implementing, and maintaining various aspects of their cloud-native data platform. This position will be part of a revenue-generating team and will collaborate closely with Quantitative Researchers and Data Scientists to define data outputs required for research.
- Architecting and orchestrating data pipelines for integrating new data sources
- Developing analytical tools to support data analysis
- Generating data for downstream analyses and dashboards
- Enhancing parallel computing capabilities for machine learning, feature engineering, and automating quality checks
- Collaborating with a team of skilled Quantitative Researchers and Data Scientists
- Proficiency in Python and SQL
- Excellent communication skills, both written and verbal
- Experience with cloud-based data warehousing technologies such as Databricks, Snowflake, Redshift, etc.
- Familiarity with cluster computing frameworks like Spark and Dask, as well as schedulers like Airflow, Dagster, and Prefect
- Proven experience working with data analysts to define data models, publish metrics, and construct dashboards
- Strong analytical problem-solving skills, logical thought processes, and a quantitative aptitude
- Demonstrated project ownership and a track record of delivering results
LocationLondon / New York
Salary$250,000 - $350,000 p/a
How to applyTo apply, please email your CV to firstname.lastname@example.org