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New York, New York - USD Full Time Posted: Thursday, 6 December 2018

The Role

You will join a successful team of professionals that work directly with Quant Researchers and PMs to implement specialised software for research and trading. You will be part of a technology team, but you will be expected to work with different Researchers and PMs to deliver solutions using existing tools and frameworks, and then further develop and expand out these frameworks.

The role encourages cross-team initiatives and daily interaction with quant researchers and technologies, so strong communication skills are essential.


  • Degree in Engineering, Computer Science or related subject; Masters or higher a plus
  • 3+ years programming experience in Q/kdb
  • Any experience/exposure to C++/Python
  • Experience with US mortgages - MBS, ABS
  • Financial knowledge and basic statistics; advanced quantitative skills a plus, but not essential
  • Self-starter: ability to rapidly learn and apply new technologies
  • Team player with excellent communication skills

Additional Desirable Qualifications:

  • Grid and cluster tools, especially SLURM
  • Experience in large-scale system design
  • Any specific asset class knowledge is a plus

If you are interested, please send a copy of your CV to or call for more information.

My client is leading a quantitative hedge fund which engages in systematic, process-driven proprietary trading. The firm builds automated trading strategies aimed at capturing market inefficiencies across various markets and asset classes from a few milliseconds to longer term both pure arbitrage or statistical in nature. The team has an extensive history of successfully running quantitative trading strategies for more than a decade and spun out as a hedge fund last year.

New York, New York, United States of America
Thu, 29 November 2018 19:00:00 EST
Anson McCade
Anson McCade
12/6/2018 11:34:14 PM

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