Data Scientist - Risk - KPO

Data Scientist-RIsk

Experience in risk modelling for BFSI domain preferred

- Currently managing a team of 3+ members (responsible for their appraisals)

- Strong track record in solving analytical problems using quantitative and statistical approaches

- Ability to manipulate and analyse complex, high- volume, high- dimension data from varying sources

- Credit Risk Modeling, Machine Learning techniques for regression and classification such as logistic and linear regression. Having worked on Artificial Neural Network, Random Forest, SVM, Stochastic Gradient Boosting, and Bayesian methods etc. is a plus.

- Technical competence in tools such as Python and/or SAS