Credit Risk Modeler - IT Services

- Hiring for a leading IT Services and Consulting Company across locations (Banglore/Pune/Delhi)

- Looking for experienced people for any of these skills-

Must-Have :

Credit Risk Modeling( Regulatory models), Analysis of business dimensions, Critical data elements, Risk Domain

1. Ability to translate Business problems to a Statistical Problem and Statistical solutions to a viable Business solution.

2. Ability to perform statistical modeling (predictive, regression, hypotheses testing, multivariate analysis, Time Series, Cluster, forecasting, ARIMA) using Python/Pyspark.

Competency Required:

1. Should have hands-on experience with Machine learning models like Logistics regression, Survival analysis model, Gradient Boost, Collaborative filtering, Bayesian, SVM, Random Forest, etc.

2. Prior experience in the predictive model building using Python

3. Working experience in developing credit risk(regulatory) models for banks

4. Excellent knowledge of Python or SAS and other statistical tools

5. Masters Statistics/ Mathematics/ Computer Science or another quantitative field

6. Minimum 1-2 years documentation skills using GitHub based data science solution development

7. Core data sciences experience entailing programming in R/ Python, performing Exploratory Analysis, and sound knowledge in statistics with a strong documentation background.