Delivery Leader - Analytics & Data Sciences at Rinalytics Advisors
Views:1042 Applications:41 Rec. Actions:Recruiter Actions:30
Quantitative Analyst - KPO (5-10 yrs)
An ideal candidate needs to be an expert with the following techniques and tools:
- Independently explore and research in the area of Time Series forecasting.
- Comfortable to build models in R/Matlab/SAS/Python/C++ and validate hypothesis based on available data.
- Expertise in one or more modeling/machine learning platforms as such as R, SAS, and Python.
- Hands on experience in Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest)
- Strong exposure to the Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees )
- Hands on experience in Time-series Modeling/Forecasting (e.g., AR, ARMA, GARCH, Exponential Smoothing)
- An expert in Statistical Analysis (e.g., Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference)
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.