Aware about stocks selection based on quant measures; fully aware about most of fundamental, quant, and technical ratios. Most suitable candidates hold any of the following certifications: CFA, CMT, FRM or CAIA.
A TensorFlow developer with a track record of building low-level TensorFlow coding with deep understanding for how to deal with overfitting and time series.
Strong mathematical foundation with the ability to translate market patterns into quantifiable data. Requires deep expertise in standard deviation, model stability via insample/outsample testing, and understanding all error types in hypothesis testing.