Quantitative Software Engineer

New York, NY

Post Date: 12/14/2017 Job ID: 9802 Category: Python, Quant

Our client is looking to fill two roles, one immediate and one medium to long term.

Immediate term: We are looking for a junior person, as a quantitative software developer/data person/junior researcher.

Education:

Degree in math/engineering/hard sciences/numerate course from schools like: MIT/Berkeley/Caltech/UIUC/UT-

Undergrad or masters

Experience:
  • Internship with good experience or 1+ years at a tech firm in roles directly related to both programming and data (ideally programming for data processes).
  • Even better if has experience both at a tech firm as well as a good finance firm
  • Experience with, and especially good results at, some data competitions/coding contests

Programming skills:
  • Has medium to large scale projects in both a compiled language (C/Java preferred, C++, C#, Swift etc. OK)
  • High proficiency in Python, including Python/C interfacing
  • Has taken at least courses on data structures, algorithms, and extra credit for graduate level courses on these lines.

Extra credit for
  • Experience with AWS, esp for any of the data contests they have experience with
  • Experience with a job scheduling system and maintaining critical jobs

Job description:

Initially:
  • Goto person for data. Understand our data pipelines, maintain our data jobs
  • Write code that creates processes for informed data ingestion, validation and normalization, create processes to generate reports on all our data using these jobs, analyze these reports to generate insights.
  • Understand our internal data formats and generate ideas on improving them
  • Understand the importance of various parts of our trading system through the above tasks
  • Help improve automation and lend operations support when jobs fail.

Continuing:

 
  • Use initial experience with data to generate ideas on analyzing this data
  • Analyze both data that we ingest as well as data we generate (execution for example) for trading ideas.
  • Help enhance the quantitative software we have for analyzing this data
  • Understand the research and trading system further and begin contributing to core component
Python, data pipelines, complied languages,

Evan Pollock


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