• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 25th Jan 2021

 A PhD, or Masters with equivalent work experience, with a solid background in machine learning, statistical analytical techniques, quantitative social science research or experimental physical science.

• Knowledge of financial modelling, factor investing, risk modelling (CFA / FRM certification is a plus)

• Advanced Knowledge of Python, Scala and Java

• 3+ years of profession experience and discipline in building Machine Learning models

• 3+ years of experience in Statistics and Data Science techniques like exploratory analysis, feature engineering and ML techniques like clustering, regressions, classifications etc.

• Experience with machine learning packages such as zipline, pyfolio, fbprophet, pysf, pyFlux, pyramid, TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, Spark ML

• Experience in Machine Learning techniques like hyper parameter tuning, model validation, model serving, model monitoring, retraining etc. (Machine Learning pipeline)

• Experience with machine learning lifecycle tools (i.e. mlflow, kubeflow)

• Excellent written and spoken English, with ability to work collaboratively and communicate well within a highly skilled team, with a wide range of backgrounds and skillsets.

• Innovative mindset—thinks beyond the status quo