Data Engineer
PROFILE
We are actively searching for a skilled Data Engineer to join a newly established quantitative investment team within a leading multi-strategy hedge fund. In this role, you will take on the responsibility of designing, implementing, and maintaining functionality throughout various components of their cloud-native data platform. Positioned within a revenue-generating team, you will work closely alongside Quantitative Researchers and Data Scientists to define essential data outputs required for research endeavors.
RESPONSIBILITIES
- Data modelling and pipelining for new data sources
- Creating analystic tools
- Creating data for downstream analyses and dashboards
- Enhancing parallel compute capabilities for machine learning, feature engineering an automating quality checks
- Work with a team of strong Quantitative Researchers and Data Scientists
QUALIFICATIONS
- Experience with Python and SQL
- Excellent communciation skills, both written and verbal
- Experience with cloud-based data warehous technologies (Databricks, Snowflake,Redshift, etc.)
- Experience with cluster compute (Spark, Dask, etc.) and schedulers (Airflow, Dagster, Prefect)
- Experience working with data analysts to define data models, publish metrics, and build dashboards
- Highly skilled and analytical problem solver with logical thought processes and quantitative aptitude
- Strong sense of project ownserhsip and a track record of delivering results
LocationLondon / New York / Hong Kong
Salary$250,000 - $350,000 p/a
How to applyTo apply, please email your CV to info@quaxitas.com