Statistical Modeller - NBFC

- Develop, enhance and support implementation of statistical and other quantitative models to support forecasting, member behaviour-based scoring and other business applications

- Understand technical issues in econometric and statistical modeling and apply these skills toward solving business problems.

- Proficient in the model development process and builds relationships with the business customer: from conceptualization through data exploration, model selection and validation, implementation, business user training and support.

- Building Credit/Collection/Risk Scorecards

- Monitor statistical model performance and provide technical guidance to business leadership.

Skills and Competencies :

- Bachelor's degree in Statistics or related field OR A Master's Degree in Statistics

- 2-3 years related work experience in statistical analysis and model development

- Advanced knowledge of data analysis tools and industry data sources.

- Advanced knowledge in developing analysis queries and procedures in SQL, SAS, R Analytics, SPSS tools or other analysis software.

- Advanced knowledge in 2 or more statistical techniques (Generalized linear modeling, Time Series, CART, Decision Trees, Neural Networks, Factor analysis experimental design and hypothesis testing).

Preferred :

- Masters degree in Statistics

- Banking experience (Risk Analytics)

Skill Set :

- Should know Python(must), R, SQL languages

- Machine Learning & Big Data Analytics

- Statistical Analysis

- Data Visualization

 - Logical Problem Solving