Quantitative Data Engineer

We are looking for an outstanding engineer to join our investment team to build out our big data analytics pipeline.

If selected, the candidate will have significant responsibility in extracting signals from structured and unstructured data, and in transforming them into tradeable insights.


BS, MS, or PhD in Computer Science, Statistics, or related discipline

Proficiency in Python and analytic packages such as Numpy, Pandas, Scikit-Learn

Proficiency in SQL


Experience in:

  • processing big data with Python using Spark, Dask, Blaze
  • OLAP with AWS Redshift, Google BigQuery
  • ETL orchestration with Apache Airflow, AWS Glue, or Google Dataflow

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