We are looking for help to predict tomorrow's stock returns.

The challenge is model selection in the presence of noisy data. The
tools are ubuntu, python, cython, c, numpy, scipy, la, bottleneck,
git.

A quantitative background and experience or interest in model
selection, machine learning, and software development are a plus.

This is a full time position in Berkeley, California, two blocks from
UC Berkeley.

If you are interested send a CV or similar (or questions) to
'.'.join(['htiek','scitylanayelekreb@namdoog','moc'][::-1])[::-1]
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