- 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
- 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
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