Job Details

ID #6389624
Estado New York
Ciudad New york city
Tipo de trabajo Permanent
Salario USD TBD TBD
Fuente Gambit Technologies Inc
Showed 2020-12-05
Fecha 2020-12-04
Fecha tope 2021-02-02
Categoría Arquitecto/ingeniero/CAD
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Python Data Engineer for Quant Strategies Research (200-300k)

New York, New york city, 10001 New york city USA

Vacancy caducado!

Python Data Engineer for Quant Strategies Research (200-300k)

Summary

Quant strategies team at Macro/Systematic hedgefund needs a solid Python engineer to work with their chief researcher on the build out of a data engineering pipeline that will be used for portfolio construction, research and NLP processing. Python engineer will be embedded in the Quant strategies team and will get exposed to investment mechanics, modelling and portfolio optimization.

Responsibilities
  • Be the sole Python data engineer to architect, design and implement a research driven ML data pipeline for financial data.
  • Leverage best practice tools for real-time data (khafka, airflow, etc) and implement all tools and libraries for data validation and monitoring.
  • Build out the NLP processing platform to help deliver market insights in simple to understand language.

Requirements
  • Bachelor s degree (preferred to be in a computer science, or tech related field with demonstrated Math/Statistics)
  • Excellent large scale Python (numpy, pandas) experience building real-time data pipelines for researchers/quants.
  • Understanding of compute cost optimization for back testing of complex datasets
  • Excellent communication skills to face off with researchers and quants to translate data needs into deliverables.

NOT IN THE JOB DESCRIPTION:

Lead researcher really wants someone who understands financial markets, has built real-time data validation tools and can sit at the table with the other researchers distilling their holistic data requirements and then can build out both the pipelines and the python calculators/libraries. They will consider someone non finance but will want to see work collaborating with data scientist and large scale python projects they have delivered.

Vacancy caducado!

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