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Remote Research Engineer (Data Engineering) - Crypto Hedge Fund

Jobot Remote
remote research engineer data data engineering engineering crypto hedge fund data research crypto engineer hedge fund
November 7, 2022
Jobot
Atlanta, Georgia
FULL_TIME
Remote or NYC-based Research Engineer needed for rapidly growing Crypto Hedge Fund backed by some of the world's most prominent investors!


This Jobot Job is hosted by Colin Callahan


Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.


Salary $300,000 - $600,000 per year


A Bit About Us


Based in NYC, we are FAST growing and well-established systematic, research-driven Crypto hedge fund that is backed by some of the highest profile investors in all of TradFi and Crypto! We are a team of the brightest, most distinguished professionals in the field, many of whom have published widely cited works in peer reviewed journals and we have earned the confidence of not only the aforementioned investors, but a consortium of the most influential partners and advisors as well. Our performance has been excellent, we are seeding multiple large funds, and we are developing winning strategies across every component and all layers of the Crypto ecosystem. We have doubled in size in the last quarter and we are not slowing down any time soon!


Currently, we are looking for an exceptional Research Engineer with experience designing ETL workflows and building storage/retrieval solutions for the wide variety of data sets to join us. If you are looking to become part of an incredibly exciting, growing fund with virtually unlimited upside, we want to speak with you right away!




Why join us?


  • Phenomenal compensation package including equity opportunities
  • Work with a tight-knit, all-star team and the brightest minds in the space.
  • Incredible growth potential!


Job Details


We are looking for talented engineers to help design ETL workflows, building storage and retrieval solutions for the wide variety of data sets used in research (scaling to Petabytes) in a cloud native environment.


Responsibilities


  • Building and validation of ETL pipelines and large amounts of data (in Airflow)
  • Building databases with unique sources of data from a variety of sources
  • Building infrastructure and systems for analyzing and modelling large amounts of data
  • Writing mathematical and quantitative libraries in C++ and Python for data analysis and financial analysis
  • Working with the quant researcher on quant tasks


Required


  • Strong experience designing ETL workflows, building storage and retrieval solutions for the wide variety of data sets
  • Python
  • AWS or similar
  • Undergraduate Degree in a STEM field such as Computer Science, Mathematics, or Physics.


Nice to Haves


  • Airflow
  • Experience managing tick data
  • Graduate STEM Degree


Interested in hearing more? Easy Apply now by clicking the "Apply" button.



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