We try to find an area where each individual can add realized value. Once it is proven to add realized value, the member can endeavour in the path that the individual has chosen.
We generates stock market prediction models by quantitative analysis, diversified data, and genuine prediction ideas. We look for candidates talented in quantitative analysis, data research, and finance. In order to realize prediction models computer programming is important. We seek highly intelligent and creative candidates. Researchers will have freedom to direct their own research project so self-motivation is crucial to success. Also, we appreciate a candidate who knows a little of statistics, computer programming, and finance, or a candidate who has a very deep understanding of any one of these three fields.
A candidate with any major will be welcome as long as he or she can create a computer-based quant trading model or a Prediction Model(PM). Related major fields are computer science/engineering, mathematics, statistics, physics, finance, economics, business, or etc. A highly-skilled computer programmer can be a competitive candidate even without knowledge in finance or trading; an economist with quantitative analysis skill sets can become a good quant researcher even if the economist knows little of computer programming. Strong background in mathematics or statistics helps a candidate to be successful in quant trading even if a such candidate has never thought about finance before.