Quant Researcher/Data Scientist/Developer 招人，纽约，需要公 (转载)# JobHunting - 待字闺中
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【 以下文字转载自 Quant 讨论区 】
发信人: secquant (), 信区: Quant
标 题: Quant Researcher/Data Scientist/Developer 招人，纽约，需要公民
发信站: BBS 未名空间站 (Thu Aug 20 22:53:40 2015, 美东)
需要美国公民。感兴趣的请直接网上申请（link如下），也可以把简历给我(
[email protected]
/* */)。但是网上申请是必须的步骤！！
https://www.usajobs.gov/GetJob/ViewDetails/411691100
Requirements(must have one or more of the following):
Processing live and historical tick-level market data. Conceptual
understanding of market microstructure, liquidity and of short-term,
intraday algorithmic trading. Hands-on experience with low latency, high
throughput multi-threaded systems or testing environments applied to High-
Frequency Trading (HFT) and/or smart execution systems.
•Developing production-grade software in one (or more) of C/C++, Java
/C# or functional languages (Q, Haskell, Closure, Lisp, F#). Desirable
experience includes Perl/Python, KDB databases, Linux/Unix environments.
Experience with parallel computing and machine learning would be a plus.
•Background in machine learning, statistics, artificial intelligence,
neural networks, as well as experience creating predictive analytics on
noisy data. Knowledge of semi-supervised learning techniques and ensemble
methods.
发信人: secquant (), 信区: Quant
标 题: Quant Researcher/Data Scientist/Developer 招人，纽约，需要公民
发信站: BBS 未名空间站 (Thu Aug 20 22:53:40 2015, 美东)
需要美国公民。感兴趣的请直接网上申请（link如下），也可以把简历给我(
[email protected]
/* */)。但是网上申请是必须的步骤！！
https://www.usajobs.gov/GetJob/ViewDetails/411691100
Requirements(must have one or more of the following):
Processing live and historical tick-level market data. Conceptual
understanding of market microstructure, liquidity and of short-term,
intraday algorithmic trading. Hands-on experience with low latency, high
throughput multi-threaded systems or testing environments applied to High-
Frequency Trading (HFT) and/or smart execution systems.
•Developing production-grade software in one (or more) of C/C++, Java
/C# or functional languages (Q, Haskell, Closure, Lisp, F#). Desirable
experience includes Perl/Python, KDB databases, Linux/Unix environments.
Experience with parallel computing and machine learning would be a plus.
•Background in machine learning, statistics, artificial intelligence,
neural networks, as well as experience creating predictive analytics on
noisy data. Knowledge of semi-supervised learning techniques and ensemble
methods.